From wcohen@allegra.att.com Mon Oct 4 21:08:47 EDT 1993 Article: 19045 of comp.ai Xref: honeydew.srv.cs.cmu.edu comp.ai:19045 Newsgroups: comp.ai Path: honeydew.srv.cs.cmu.edu!bb3.andrew.cmu.edu!news.sei.cmu.edu!cis.ohio-state.edu!math.ohio-state.edu!cs.utexas.edu!uunet!ftpbox!mothost!binford!mcdchg!tellab5!cuuxb!nsscmail!ulysses!allegra!wcohen From: wcohen@allegra.att.com (William Cohen) Subject: ML'94 call for papers Message-ID: Date: Wed, 29 Sep 1993 18:29:16 GMT Distribution: comp Organization: AT&T Bell Laboratories Lines: 122 CALL FOR PAPERS - ML94 Eleventh International Conference on Machine Learning New Brunswick, New Jersey July 10-13, 1994 The Eleventh International Conference on Machine Learning (ML94) will be held at the New Brunswick campus of Rutgers University during July 11-13, 1994, with workshops taking place on July 10th. The conference will be co-located with the Seventh Annual Conference on Computational Learning Theory (COLT94), which will be held July 12-15. We invite submissions to ML94 from researchers in machine learning or related fields, such as psychology, statistics, or neuroscience. The conference will include presentations of refereed papers and invited talks. REVIEW CRITERIA. Each submitted paper will be reviewed by at least two members of the program committee, and be judged on clarity, significance, and originality. Submissions should contain new results that have not been published previously. Submissions to ML94 may be submitted to other conferences, but if so a statement to this effect must appear on the title page. PAPER FORMAT. Submissions must be clearly legible, with good quality print. Papers are limited to a total of twelve (12) pages, excluding title page and bibligraphy, but including all tables and figures. Papers must be printed on 8 1/2" x 11" or A4 paper using 12 point type (10 characters per inch for typewriters). Each page must have a maximum of 38 lines and an average of 75 characters per line (corresponding to the LaTeX article style, 12 point). Papers not adhering to this format may be returned without review. Double-sided printing is strongly encouraged. The title page of each paper must include the e-mail and postal addresses of all authors, an abstract, and one or more keywords from the following list to aid in the reviewing process: analogy, Bayesian learning, case-based reasoning, cognitive modeling, computational learning theory, concept formation, decision trees, discovery, explanation-based learning, genetic algorithms, inductive logic programming, instance-based learning, knowledge acquisition, minimum description length, neural networks, reformulation, reinforcement learning, scientific theory formation, speedup learning, theory refinement, unsupervised learning, constructive induction, multi-strategy learning. REQUIREMENTS FOR SUBMISSION. Authors must submit five copies of their papers to the address below; electronic or FAX submission is not acceptable. Papers must be received by February 8, 1994. Notification of acceptance or rejection will be mailed to the first (or designated) author by March 25, 1994. Camera-ready copy of accepted papers will be due April 26, 1994. Send conference paper submissions to: William W. Cohen, ATT Bell Laboratories, 600 Mountain Avenue, Room 2A-427, Murray Hill, NJ 07974 (908)-582-2092. INFORMAL WORKSHOPS. Proposals are invited for informal workshops in areas of interest related to machine learning. Send a two-page proposal to: Russell Greiner, ML94 Workshop Chair, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, by December 1, 1993, indicating the organizer(s), nature and objective of the proposed workshop, and the likely number of attendees. GENERAL INQUIRIES: ml94@cs.rutgers.edu CONFERENCE CO-CHAIRS: William W. Cohen Haym Hirsh ATT Bell Laboratories Department of Computer Science 600 Mountain Avenue Rutgers University Murray Hill, NJ 07974 New Brunswick, NJ 08903 wcohen@research.att.com hirsh@cs.rutgers.edu PROGRAM COMMITTEE: David Aha, NRL Yuichiro Anzai, Keio U. Eric Baum, NEC Francesco Bergadano, U. Torino Wray Buntine, NASA Jason Catlett, ATT Marie des Jardins, SRI Tom Dietterich, Oregon St. U. Doug Fisher, Vanderbilt U. John Grefenstette, NRL Russ Greiner, Siemens Geoff Hinton, U. Toronto Leslie Kaelbling, Brown U. Dennis Kibler, UCI John Laird, U. Michigan Sridhar Mahadevan, S. Florida Hiroshi Motoda, Hitachi Ray Mooney, U. Texas Katharina Morik, U. Dortmund Mike Pazzani, UCI Lenny Pitt, U. Illinois Lorien Pratt, Colorado S. of Mines Armand Prieditis, UC/Davis Paul Rosenbloom, USC/ISI Stuart Russell, UCB Lorenza Saitta, U. Torino Claude Sammut, U. New S. Wales Cullen Schaffer, Hunter College Rich Sutton, GTE Paul Utgoff, U. Mass Stefan Wrobel, GMD Steve Whitehead, GTE Manuela Veloso, CMU Kenji Yamanishi, NEC WORKSHOP CHAIR: Russell Greiner Siemens Corporate Research 755 College Road East Princeton, NJ 08540 greiner@learning.scr.siemens.com LOCAL ARRANGEMENTS: Priscilla Rasmussen Department of Computer Science Rutgers University New Brunswick, NJ 08903 rasmusse@cs.rutgers.edu -- - William Cohen (wcohen@research.att.com) Article 5240 of news.announce.conferences: Xref: glinda.oz.cs.cmu.edu comp.lang.ml:279 news.announce.conferences:5240 comp.lang.functional:3992 comp.lang.sigplan:156 Newsgroups: comp.lang.ml,news.announce.conferences,comp.lang.functional,comp.lang.sigplan Path: honeydew.srv.cs.cmu.edu!quincy.inria.fr!remy From: Didier Remy Subject: CFP: ML'94 workshop (June 1994) Message-ID: Originator: jgmorris@VACHE.VENARI.CS.CMU.EDU Sender: news@cs.cmu.edu (Usenet News System) Nntp-Posting-Host: quincy.inria.fr Reply-To: Didier Remy Organization: I.N.R.I.A Rocquencourt Date: Wed, 8 Dec 1993 15:36:17 GMT Approved: comp-lang-ml@cs.cmu.edu Lines: 63 2nd CALL FOR PAPERS --- ML'94 ACM SIGPLAN Workshop on ML and its Applications June 25-26, 1994 Orlando, Florida (Held in conjunction with PLDI and LFP) Short abstracts of no more than four pages in length are sought on topics relating to the ML language. Contributions on applications, programming methodology, and system-building experience are particularly welcome, but the workshop will also cover issues of language design, semantics, implementation, programming tools and environments for ML. Authors are encouraged to submit their abstracts to the Program Chair via electronic mail; either Postscript or a self-contained TeX or LaTeX file is acceptable. If electronic submission is not possible, then please submit 6 printed copies of the abstract to the Program Chair at the address below. The deadline for abstracts is February 25, 1994. Authors will be notified of acceptance or rejection by April 8, 1994. Final version of accepted papers must be received in camera-ready form by May 6, 1994. This is the fifth in a series of workshops on ML, and the second sponsored by SIGPLAN. The workshop will be held in conjunction with the ACM SIGPLAN '94 Conference on Programming Language Design and Implementation (PLDI'94) and the 1994 ACM Conference on Lisp and Functional Programming (LFP'94). Important dates: Submission deadline February 25, 1994 Notification of authors April 8, 1994 Final version May 6, 1994 Workshop June 25-26, 1994 Program Committee: Lennart Augustsson Chalmers University Guy Cousineau Ecole Normale Superieur d'Ulm Tim Griffin AT&T Bell Labs Peter Lee Carnegie Melon University Atsushi Ohori Kyoto University Didier Remy INRIA Program Chair: Didier Remy INRIA Domaine de Voluceau-Rocquencourt B.P. 105 78153 Le Chesnay Cedex FRANCE Didier.Remy@inria.fr 33 1 3963-5317 For additional information, contact the workshop chairman: John Reppy Rm 2A-428 AT&T Bell Laboratories 600 Mountain Avenue Murray Hill, NJ 07974 jhr@research.att.com Article 20441 of comp.ai: Xref: glinda.oz.cs.cmu.edu comp.ai:20441 Newsgroups: comp.ai Path: honeydew.srv.cs.cmu.edu!bb3.andrew.cmu.edu!news.sei.cmu.edu!cis.ohio-state.edu!magnus.acs.ohio-state.edu!usenet.ins.cwru.edu!howland.reston.ans.net!wupost!udel!princeton!allegra!ulysses!research!wcohen From: wcohen@research.att.com (William Cohen) Subject: ML94 call for papers - one last reminder Message-ID: Date: Tue, 25 Jan 1994 20:00:23 GMT Distribution: comp Organization: AT&T Bell Laboratories Lines: 122 CALL FOR PAPERS - ML94 Eleventh International Conference on Machine Learning New Brunswick, New Jersey July 10-13, 1994 The Eleventh International Conference on Machine Learning (ML94) will be held at the New Brunswick campus of Rutgers University during July 11-13, 1994, with workshops taking place on July 10th. The conference will be co-located with the Seventh Annual Conference on Computational Learning Theory (COLT94), which will be held July 12-15. We invite submissions to ML94 from researchers in machine learning or related fields, such as psychology, statistics, or neuroscience. The conference will include presentations of refereed papers and invited talks. REVIEW CRITERIA. Each submitted paper will be reviewed by at least two members of the program committee, and be judged on clarity, significance, and originality. Submissions should contain new results that have not been published previously. Submissions to ML94 may be submitted to other conferences, but if so a statement to this effect must appear on the title page. PAPER FORMAT. Submissions must be clearly legible, with good quality print. Papers are limited to a total of twelve (12) pages, excluding title page and bibligraphy, but including all tables and figures. Papers must be printed on 8 1/2" x 11" or A4 paper using 12 point type (10 characters per inch for typewriters). Each page must have a maximum of 38 lines and an average of 75 characters per line (corresponding to the LaTeX article style, 12 point). Papers not adhering to this format may be returned without review. Double-sided printing is strongly encouraged. The title page of each paper must include the e-mail and postal addresses of all authors, an abstract, and one or more keywords from the following list to aid in the reviewing process: analogy, Bayesian learning, case-based reasoning, cognitive modeling, computational learning theory, concept formation, decision trees, discovery, explanation-based learning, genetic algorithms, inductive logic programming, instance-based learning, knowledge acquisition, minimum description length, neural networks, reformulation, reinforcement learning, scientific theory formation, speedup learning, theory refinement, unsupervised learning, constructive induction, multi-strategy learning. REQUIREMENTS FOR SUBMISSION. Authors must submit five copies of their papers to the address below; electronic or FAX submission is not acceptable. Papers must be received by February 8, 1994. Notification of acceptance or rejection will be mailed to the first (or designated) author by March 25, 1994. Camera-ready copy of accepted papers will be due April 26, 1994. Send conference paper submissions to: William W. Cohen, ATT Bell Laboratories, 600 Mountain Avenue, Room 2A-427, Murray Hill, NJ 07974 (908)-582-2092. INFORMAL WORKSHOPS. Proposals are invited for informal workshops in areas of interest related to machine learning. Send a two-page proposal to: Russell Greiner, ML94 Workshop Chair, Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540, by December 1, 1993, indicating the organizer(s), nature and objective of the proposed workshop, and the likely number of attendees. GENERAL INQUIRIES: ml94@cs.rutgers.edu CONFERENCE CO-CHAIRS: William W. Cohen Haym Hirsh ATT Bell Laboratories Department of Computer Science 600 Mountain Avenue Rutgers University Murray Hill, NJ 07974 New Brunswick, NJ 08903 wcohen@research.att.com hirsh@cs.rutgers.edu PROGRAM COMMITTEE: David Aha, NRL Yuichiro Anzai, Keio U. Eric Baum, NEC Francesco Bergadano, U. Torino Wray Buntine, NASA Jason Catlett, ATT Marie des Jardins, SRI Tom Dietterich, Oregon St. U. Doug Fisher, Vanderbilt U. John Grefenstette, NRL Russ Greiner, Siemens Geoff Hinton, U. Toronto Leslie Kaelbling, Brown U. Dennis Kibler, UCI John Laird, U. Michigan Sridhar Mahadevan, S. Florida Hiroshi Motoda, Hitachi Ray Mooney, U. Texas Katharina Morik, U. Dortmund Mike Pazzani, UCI Lenny Pitt, U. Illinois Lorien Pratt, Colorado S. of Mines Armand Prieditis, UC/Davis Paul Rosenbloom, USC/ISI Stuart Russell, UCB Lorenza Saitta, U. Torino Claude Sammut, U. New S. Wales Cullen Schaffer, Hunter College Rich Sutton, GTE Paul Utgoff, U. Mass Stefan Wrobel, GMD Steve Whitehead, GTE Manuela Veloso, CMU Kenji Yamanishi, NEC WORKSHOP CHAIR: Russell Greiner Siemens Corporate Research 755 College Road East Princeton, NJ 08540 greiner@learning.scr.siemens.com LOCAL ARRANGEMENTS: Priscilla Rasmussen Department of Computer Science Rutgers University New Brunswick, NJ 08903 rasmusse@cs.rutgers.edu -- - William Cohen (wcohen@research.att.com) Article 21932 of comp.ai: Xref: glinda.oz.cs.cmu.edu comp.ai:21932 comp.theory:9734 comp.ai.edu:1799 comp.ai.neural-nets:16274 comp.robotics:10587 comp.ai.genetic:2803 Newsgroups: comp.ai,comp.theory,comp.ai.edu,comp.ai.neural-nets,comp.robotics,comp.ai.genetic,sci.math.stat Path: honeydew.srv.cs.cmu.edu!nntp.club.cc.cmu.edu!godot.cc.duq.edu!newsfeed.pitt.edu!gatech!howland.reston.ans.net!torn!watserv2.uwaterloo.ca!watdragon.uwaterloo.ca!mli From: mli@logos.uwaterloo.ca (Ming Li) Subject: ML94/COLT94 advance program and registration Message-ID: Sender: news@watdragon.uwaterloo.ca (USENET News System) Organization: University of Waterloo Date: Sat, 30 Apr 1994 01:09:15 GMT Lines: 689 This advance program for COLT94 and ML94 replaces a preliminary announcement that was distributed in March. An unabbreviated version of this announcement in Latex or postscript can be obtained via anonymous ftp from cs.rutgers.edu in the directory /pub/learning94/registration-information, and also from our www site at http://www.cs.rutgers.edu/pub/learning94/learning94.html. If you do not have access to ftp/www, send email to ml94@cs.rutgers.edu or colt94@research.att.com. *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* --- Advance Program --- ML '94 COLT '94 Eleventh International Conference Seventh ACM Conference on on Machine Learning Computational Learning Theory July 10-13, 1994 July 12-15, 1994 Rutgers, The State University of New Jersey, New Brunswick *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* The COLT and ML conferences will be held together this year at Rutgers University in New Brunswick. This is the first time that COLT and ML will be held in the same location, and we are looking forward to a lively and interdisciplinary meeting of the two communities. Please come and help make this exciting experiment a success. Among the highlights of the conferences are three invited lectures, and, on Sunday, July 10, a day of workshops and tutorials on a variety of topics relevant to machine learning. The tutorials are sponsored by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), and are free and open to the general public. COLT is sponsored by the ACM Special Interest Groups on Algorithms and Computation Theory (SIGACT) and on Artificial Intelligence (SIGART). In addition, COLT and ML received generous support this year from AT&T Bell Laboratories and the NEC Research Institute. >>>> WARNING <<<< The dates of the conferences coincide this year with the World Cup soccer matches being held at Giants Stadium in East Rutherford, New Jersey. These games are expected to be the largest sporting event ever held in the New York metropolitan area, and it is possible that the volume of soccer fans in the area could adversely affect your ability to make travel reservations. Therefore, IT IS EXTREMELY IMPORTANT THAT YOU MAKE ALL YOUR TRAVEL ARRANGEMENTS AS EARLY AS POSSIBLE. GENERAL INFORMATION LOCATION. The conferences will be held at the College Avenue Campus of Rutgers University in downtown New Brunswick, which is easily accessible by air, train, and car. For air travel, New Brunswick is 35 minutes from Newark International Airport, a major U.S. and international airline hub. By rail, the New Brunswick train station is located less than four blocks from the conference site and is on Amtrak's Northeast corridor. For travel by car, the conference site is approximately three miles from Exit 9 of the New Jersey Turnpike. See instructions below for obtaining a map of the campus. Most conference activities will take place in Scott Hall (#21 on map) and Murray Hall (#22). Conference check-in and on-site registration will take place in Scott Hall (follow signs for exact room location) on Saturday, July 9 at 3-6pm, and everyday after that beginning at 8am. REGISTRATION. Please complete the attached registration form, and return it with a check or money order for the full amount. The early registration (postmark) deadline is May 27, 1994. HOUSING. We have established the group rate of $91/night for a single or a double at the HYATT REGENCY HOTEL (about five blocks from the conference site). This rate is only guaranteed through June 10, 1994, and, due to limited availability, it is strongly recommended that you make reservations as soon as possible. To reserve a room, please contact the Hyatt directly and be sure to reference ML94/COLT94 (phone 908-873-1234 or 800-233-1234; fax 908-873-1382; or write Hyatt Regency, 2 Albany Street, New Brunswick, NJ 08901 USA). Parking is available at the hotel for a discounted $3/night. We have also reserved dormitory space in two dorms, both of which are an easy walk to the main conference site. Dorm reservations must be made by the early registration deadline of May 27, 1994. Both dorms include daily maid service (linens provided first day for the week and daily fresh towels and beds made). The Stonier Hall dorms (#56 on map) are air-conditioned with private bath and are situated in the center of the campus. Due to limited availability, only shared double rooms are available in Stonier. Only a block away, the Campbell Hall dorms (#50) are one of a set of three "river dorms" overlooking the Raritan River. Although Campbell Hall is not air-conditioned, the view of the river is quite pleasing and rooms on the river side should offer good air flow. Baths in Campbell are shared on each floor, with single and double rooms available. Please specify your dorm preference on your registration form, and we will assign space accordingly on a first come, first served basis as long as rooms are available. Unfortunately, because there are only a finite number of rooms within each dormitory, we cannot absolutely guarantee your request. Check-in for the dorms will take place at the Housing Office in Clothier Hall (#35) which is located next to the Hurtado Health Center (#37) on Bishop Place. Check-in hours will be 4pm to midnight, July 9-13. TRAVEL BY AIR. Newark International Airport is by far the most convenient. A taxi from the airport to New Brunswick costs about $36 (plus nominal tolls) for up to four passengers. (This is the flat-rate fare for a _licensed_ taxi from the official-looking taxi stand; it is strongly recommended that you refuse rides offered by unlicensed taxi drivers who may approach you elsewhere in the airport.) Shuttle service to New Brunswick is available from ICS for $23 per person. ICS shuttles run direct to the Hyatt, and require at least one-day advance reservations (908-566-0795 or 800-225-4427). If renting a car, follow signs out of the airport to New Jersey Turnpike South, and continue with the directions below. By public transportation, take the Airlink bus ($4 exact fare) to Newark Penn Station and follow the "by rail" directions below. (New Jersey Transit train fare is $5.25 one-way or $8 round trip excursion; trains run about twice an hour during the week, and less often in the evening and on weekends.) TRAVEL BY CAR. Take the New Jersey Turnpike (south from Newark or New York, north from Philadelphia) to Exit 9. Follow signs onto Route 18 North or West (labeled differently at different spots) toward New Brunswick. Take the Route 27, Princeton exit onto Albany Street (Route 27) into downtown New Brunswick. The Hyatt Regency Hotel will be on your left after the first light. If staying at the Hyatt, turn left at the next light, Neilson Street, and left again into the front entrance of the hotel. If staying in the dorms, continue past this light to the following light, George Street, and turn right. Stay on George Street to just before the fifth street and turn left into the Parking Deck (#55 on map). Walk to the Housing Office in Clothier Hall (#35) for dormitory check-in. Parking passes will be provided to all conference registrants. TRAVEL BY RAIL. Take either an Amtrak or a New Jersey Transit train to the New Brunswick train station. This is located at the corner of Albany Street and Easton Avenue. If staying at the Hyatt Regency Hotel, it is a (long) three block walk to the left on Albany Street to the hotel. If staying in the dorms it is a (long) six block walk to the Housing Office in Clothier Hall (#35 on map) for dormitory check-in. (The taxi stand is in front of the train station on Albany Street.) MEALS. Continental breakfast is included with registration, but not lunch or dinner. Restaurants abound within walking distance of the conference and housing venue, ranging from inexpensive food geared to college students to more expensive dining. A reception on July 12 is scheduled at the rustic Log Cabin, situated next to the experimental gardens of the agricultural campus, as part of the registration package for all ML94 and COLT94 attendees. The banquet on July 13 is included in the registration package for everyone except students. CLIMATE. New Jersey in July is typically hot, with average daily highs around 85 degrees, and overnight lows around 70. Most days in July are sunny, but also come prepared for the possibility of occasional rain. THINGS TO DO. The newly opened Liberty Science Center is a fun, hands-on science museum located in Liberty State Park, about 30-45 minutes from New Brunswick (201-200-1000). From Liberty State Park, one can also take a ferry to the Statue of Liberty and the Immigration Museum at Ellis Island. New York City can be reached in under an hour by rail on New Jersey Transit. Trains run about twice an hour during the week, and once an hour on weekends and at night. Fare is $7.75 one-way, $11.50 round trip excursion. New Brunswick has a number of theaters, including the State Theater (908-247-7200), the George Street Playhouse (908-246-7717), and the Crossroads Theater (908-249-5560). The New Jersey shore is less than an hour from New Brunswick. Points along the shore vary greatly in character. Some, such as Point Pleasant, have long boardwalks with amusement park rides, video arcades, etc. Others, such as Spring Lake, are quiet and uncommercialized with clean and very pretty beaches. Further south, about two hours from New Brunswick, are the casinos of Atlantic City. You can walk for miles and miles along the towpath of the peaceful Delaware and Raritan Canal which runs from New Brunswick south past Princeton. Your registration packet will include a pass for access to the College Avenue Gymnasium (near the dormitories, #77 on map). FURTHER INFORMATION. If you have any questions or problems, or if you have special needs due to a disability, please send email to colt94@research.att.com or ml94@cs.rutgers.edu. Further conference information is available via anonymous ftp from cs.rutgers.edu in the directory /pub/learning94. Also, users of www information servers, such as mosaic, can find the information at http://www.cs.rutgers.edu/pub/learning94/learning94.html. Available information includes a map of the campus, abstracts of workshops/tutorials, updates of this announcement, and an application for ACM/SIG membership. For New Jersey Transit fare and schedule information, call 800-772-2222 (in New Jersey) or 201-762-5100 (out-of-state). TECHNICAL PROGRAM The combined technical program for COLT and ML is given below. All talks will be held in Scott Hall (#21 on map) and Murray Hall (#22), exact room locations to be announced. Monday, July 11 ============================================================================== | Welcome: 8:45 |----------------------------------------------------------------------------- | ML SESSION 1: 9:00-10:00 Chair: R. Greiner | | 9:00 Rule induction for semantic query optimization-- | Chun-Nan Hsu, Craig Knoblock | 9:30 Heterogeneous uncertainty sampling for supervised learning-- | David D. Lewis, Jason Catlett |----------------------------------------------------------------------------- | BREAK: 10:00-10:30 |----------------------------------------------------------------------------- | ML SESSION 2: 10:30-12:00 | | Chair: T. Dietterich | 10:30 Prototype and feature selection by sampling and random | mutation hill climbing algorithms--David B. Skalak | 11:00 Irrelevant features and the subset selection | problem--George H. John, Ron Kohavi, Karl Pfleger | 11:30 Greedy attribute selection--Richard A. Caruana, Dayne Freitag | | Chair: C. Sammut | 10:30 A constraint-based induction algorithm in FOL--Michele Sebag | 11:00 Learning recursive relations with randomly selected small | training sets--David W. Aha, Stephane Lapointe, | Charles Ling, Stan Matwin | 11:30 Improving accuracy of incorrect domain theories--Lars Asker | | Chair: E. Baum | 10:30 The generate, test and explain discovery system architecture-- | Michael de la Maza | 11:00 Learning disjunctive concepts by means of genetic algorithms-- | A. Giordana, L. Saitta, F. Zini | 11:30 Hierarchical self-organization in genetic programming-- | Justinian Rosca, Dana Ballard |----------------------------------------------------------------------------- | LUNCH: 12:00-2:00 |----------------------------------------------------------------------------- | ML SESSION 3: 2:00-3:30 Chair: M. Pazzani | | 2:00 Combining top-down and bottom-up techniques in inductive logic | programming--John M. Zelle, Raymond Mooney, Joshua Konvisser | 2:30 Towards a better understanding of memory-based reasoning systems-- | John Rachlin, Simon Kasif, Steven Salzberg, David Aha | 3:00 Using genetic search to refine knowledge-based neural networks-- | David W. Opitz, Jude Shavlik |----------------------------------------------------------------------------- | BREAK: 3:30-4:00 |----------------------------------------------------------------------------- | ML SESSION 4: 4:00-5:30 | | Chair: A. Prieditis | 4:00 Consideration of risk in reinforcement learning--Matthias Heger | 4:30 Markov games as a framework for multi-agent reinforcement learning-- | Michael Littman | 5:00 Learning without state-estimation in partially observable Markovian | decision processes--Satinder Pal Singh, Tommi Jaakkola, | Michael I. Jordan | | Chair: L. Saitta | 4:00 Comparing methods for refining certainty-factor rule-bases-- | J. Jeffrey Mahoney, Raymond Mooney | 4:30 Getting the most from flawed theories--Moshe Koppel, Alberto | Segre, Ronen Feldman | 5:00 Revision of production system rule-bases--Patrick M. Murphy, | Michael J. Pazzani | | Chair: J. Catlett | 4:00 A new method for predicting protein secondary structures based | on stochastic tree grammars--Naoki Abe, Hiroshi Mamitsuka | 4:30 A powerful heuristic for the discovery of complex patterned | behavior--Raul E. Valdes-Perez, Aurora Perez | 5:00 Reducing misclassification costs--Michael J. Pazzani, Christopher | Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk ============================================================================== Tuesday, July 12 ============================================================================== | | ML SESSION 5: 8:30-10:00 Chair: L. Kaelbling | | 8:30 A modular Q-learning architecture for manipulator task | decomposition--Chen Tham, Richard Prager | 9:00 On the worst-case analysis of temporal-difference learning | algorithms--Robert E. Schapire, Manfred K. Warmuth | 9:30 To discount or not to discount in reinforcement learning: A case | study comparing R learning and Q learning--Sridhar Mahadevan |----------------------------------------------------------------------------- | BREAK: 10:00-10:30 |----------------------------------------------------------------------------- | ML SESSION 6: 10:30-12:00 | | Chair: L. Pratt | 10:30 A Baysian framework to integrate symbolic and neural learning-- | Irina Tchoumatchenko, Jean Gabriel Ganascia | 11:00 Boosting and other machine learning algorithms--Harris Drucker, | Corinna Cortes, L. D. Jackel, Yann LeCun, Vladimir Vapnik | 11:30 Using sampling and queries to extract rules from trained neural | networks--Mark W. Craven, Jude Shavlik | | Chair: K. Yamanishi | 10:30 The minimum description length principle and categorical theories-- | J. R. Quinlan | 11:00 An efficient subsumption algorithm for inductive logic programming-- | Jorg-Uwe Kietz, Marcus Lubbe | 11:30 Selective reformulation of examples in concept learning-- | Jean-Daniel Zucker, Jean Gabriel Ganascia | | Chair: C. Schaffer | 10:30 Small sample decision tree pruning--Sholom Weiss, Nitin Indurkhya | 11:00 An improved algorithm for incremental induction of decision trees-- | Paul Utgoff | 11:30 Incremental reduced error pruning--Johannes Furnkranz, Gerhard Widmer |----------------------------------------------------------------------------- | LUNCH: 12:00-1:50 |----------------------------------------------------------------------------- | INVITED TALK: 1:50-3:00 | | 1:50 Stephen Muggleton--Recent advances in inductive logic programming. |----------------------------------------------------------------------------- | BREAK: 3:00-3:30 |----------------------------------------------------------------------------- | COLT SESSION 1: 3:30-4:40 Chair: A. Blum | | 3:30 Classic learning--Michael Frazier, Leonard Pitt | 3:55 Learning probabilistic automata with variable memory length-- | Dana Ron, Yoram Singer, Naftali Tishby | 4:20 On a learnability question associated to neural networks with | continuous activations--Bhaskar DasGupta, Hava T. Siegelmann, | Eduardo Sontag | 4:30 Learning with malicious membership queries and exceptions-- | Dana Angluin, Martins Krickis |----------------------------------------------------------------------------- | BREAK: 4:40-4:50 |----------------------------------------------------------------------------- | COLT IMPROMPTU TALKS: 4:50 onward |----------------------------------------------------------------------------- | RECEPTION: time and location TBA ============================================================================== Wednesday, July 13 ============================================================================== | ML SESSION 7: 8:30-10:00 Chair: D. Aha | | 8:30 Efficient algorithms for minimizing cross validation error-- | Mary Lee, Andrew W. Moore | 9:00 A conservation law for generalization performance--Cullen Schaffer | 9:30 In defense of C4.5: notes on learning one-level decision trees-- | Tapio Elomaa |----------------------------------------------------------------------------- | BREAK: 10:00-10:25 |----------------------------------------------------------------------------- | COLT SESSION 2: 10:25-12:05 Chair: P. Tadepalli | | 10:25 Efficient agnostic PAC-learning with simple hypotheses-- | Wolfgang Maass | 10:50 Rigorous learning curve bounds from statistical mechanics-- | David Haussler, Michael Kearns, H. Sebastian Seung, Naftali Tishby | 11:15 Efficient reinforcement learning--Claude-Nicolas Fiechter | 11:40 An optimal-control application of two paradigms of on-line | learning--V. G. Vovk |----------------------------------------------------------------------------- | LUNCH: 12:05-1:50 |----------------------------------------------------------------------------- | INVITED TALK: 1:50-3:00 | | 1:50 Fernando Pereira--Frequencies vs. biases: Machine learning | problems in natural language processing. |----------------------------------------------------------------------------- | BREAK: 3:00-3:30 |----------------------------------------------------------------------------- | ML SESSION 8: 3:30-4:30 | | Chair: D. Kibler | 3:30 An incremental learning approach for completable planning-- | Melinda T. Gervasio, Gerald F. DeJong | 4:00 Learning by experimentation: incremental refinement of incomplete | planning domains--Yolanda Gil | | Chair: S. Mahadevan | 3:30 Reward functions for accelerated learning--Maja Mataric | 4:00 Incremental multi-step Q-learning--Jing Peng, Ronald Williams |----------------------------------------------------------------------------- | BREAK: 4:30-4:45 |----------------------------------------------------------------------------- | COLT IMPROMPTU TALKS: 4:45 onward |----------------------------------------------------------------------------- | ML BUSINESS MEETING: 4:45 onward |----------------------------------------------------------------------------- | BANQUET: time and location TBA ============================================================================== Thursday, July 14 ============================================================================== | COLT SESSION 3: 8:30-10:10 Chair: T. Zeugmann | | 8:30 On learning read-k-satisfy-j DNF--Avrim Blum, Roni Khardon, | Eyal Kushilevitz, Leonard Pitt, Dan Roth | 8:55 On the limits of proper learnability of subclasses of DNF formulas-- | Krishnan Pillaipakkamnatt, Vijay Raghavan | 9:20 Oracles and queries that are sufficient for exact learning-- | Nader H. Bshouty, Richard Cleve, Sampath Kannan, Christino Tamon | 9:45 Learning structurally reversible context-free grammars | from queries and counterexamples in polynomial time--Andrey Burago |----------------------------------------------------------------------------- | BREAK: 10:10-10:35 |----------------------------------------------------------------------------- | COLT SESSION 4: 10:35-12:05 Chair: N. Bshouty | | 10:35 Inference and minimization of hidden Markov chains-- | David Gillman, Michael Sipser | 11:00 Playing the matching-shoulders lob-pass game with | logarithmic regret--Joe Kilian, Kevin Lang, Barak Pearlmutter | 11:25 Learning monotone log-term DNF formulas--Yoshifumi Sakai, Akira Maruoka | 11:35 Minimum L-complexity algorithm and its applications to learning | non-parametric rules--Kenji Yamanishi | 11:45 Approximate methods for sequential decision making using | expert advice--Thomas H. Chung | 11:55 Co-learning of total recursive functions--Rusins Freivalds, | Marek Karpinski, Carl H. Smith |----------------------------------------------------------------------------- | LUNCH: 12:05-1:50 |----------------------------------------------------------------------------- | INVITED TALK: 1:50-3:00 | | 1:50 Michael Jordan--Hidden decision tree models. |----------------------------------------------------------------------------- | BREAK: 3:00-3:30 |----------------------------------------------------------------------------- | COLT SESSION 5: 3:30-4:30 Chair: T. Hancock | | 3:30 Learning unions of boxes with membership and equivalence | queries--Paul W. Goldberg, Sally A. Goldman, H. David Mathias | 3:40 An optimal parallel algorithm for learning DFA-- | Jose L. Balcazar, Josep Diaz, Ricard Gavalda, Osamu Watanabe | 3:50 On learning counting functions with queries-- | Zhixiang Chen, Steven Homer | 4:00 Geometrical concept learning and convex polytopes--Tibor Hegedus | 4:10 Learning with queries but incomplete information-- | Robert H. Sloan, Gyorgy Turan | 4:20 Learning one-dimensional geometric patterns under one-sided random | misclassification noise--Paul W. Goldberg, Sally A. Goldman |----------------------------------------------------------------------------- | BREAK: 4:30-4:45 |----------------------------------------------------------------------------- | COLT IMPROMPTU TALKS: 4:45 onward |----------------------------------------------------------------------------- | COLT POSTER SESSION: 7:00-8:30 |----------------------------------------------------------------------------- | COLT BUSINESS MEETING: 8:30 ============================================================================== Friday, July 15 ============================================================================== | COLT SESSION 6: 8:25-10:05 Chair: W. Gasarch | | 8:25 The representation of recursive languages and its impact | on the efficiency of learning--Steffen Lange | 8:50 The strength of noninclusions for teams of finite learners-- | Martin Kummer | 9:15 On the intrinsic complexity of language identification-- | Sanjay Jain, Arun Sharma | 9:40 Inclusion problems in parallel learning and games-- | Martin Kummer, Frank Stephan |----------------------------------------------------------------------------- | BREAK: 10:05-10:25 |----------------------------------------------------------------------------- | COLT SESSION 7: 10:25-12:05 Chair: M. Kearns | | 10:25 Fat-shattering and the learnability of real-valued functions-- | Peter L. Bartlett, Philip M. Long, Robert C. Williamson | 10:50 On learning arithmetic read-once formulas with exponentiation-- | Daoud Bshouty, Nader H. Bshouty | 11:15 Exploiting random walks for learning--Peter L. Bartlett, | Paul Fischer, Klaus-Uwe Hoffgen | 11:40 Learning from a consistently ignorant teacher--Mike Frazier, | Sally Goldman, Nina Mishra, Leonard Pitt |----------------------------------------------------------------------------- | LUNCH: 12:05-1:50 |----------------------------------------------------------------------------- | COLT SESSION 8: 1:50-3:30 Chair: S. Solla | | 1:50 Learning linear threshold functions in the presence of | classification noise--Tom Bylander | 2:15 Efficient learning of continuous neural networks--Pascal Koiran | 2:40 Generalization in partially connected layered neural networks-- | Kyung-Hoon Kwon, Kukjin Kang, Jong-Hoon Oh | 3:05 Lower bounds on the VC-dimension of smoothly parametrized function | classes--Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson ============================================================================== WORKSHOPS AND DIMACS-SPONSORED TUTORIALS On Sunday, July 10, we are pleased to present four all-day workshops, five half-day tutorials, and one full-day advanced tutorial. The DIMACS-sponsored tutorials are free and open to the general public. Participation in the workshops is also free, but is at the discretion of the workshop organizers. Note that some of the workshops have quickly approaching application deadlines. Please contact the workshop organizers directly for further information. Some information is also available via ftp/www (see "further information" above). Morning sessions will be held 8:45am-12:15pm, with a half hour break at 10:15. Afternoon sessions will be held 2-5:30pm, with a half hour break at 3:30. For workshops W1 and W2, please contact the workshop organizers for times of evening sessions. All workshops and tutorials will be held in Scott Hall (#21 on map) and Murray Hall (#22); exact room locations will be posted. TUTORIALS: T1. State of the art in learning DNF rules morning/afternoon (advanced tutorial) Dan Roth danr@das.harvard.edu Jason Catlett catlett@research.att.com T2. Descriptional complexity and inductive learning morning Ed Pednault epdp@research.att.com T3. Computational learning theory: introduction and survey morning Lenny Pitt pitt@cs.uiuc.edu T4. What does statistical physics have to say about learning? morning Sebastian Seung seung@physics.att.com Michael Kearns mkearns@research.att.com T5. Reinforcement learning afternoon Leslie Kaelbling lpk@cs.brown.edu T6. Connectionist supervised learning--an engineering afternoon approach Tom Dietterich tgd@research.cs.orst.edu Andreas Weigend andreas@cs.colorado.edu WORKSHOPS: W1. Robot Learning morning/afternoon/evening Sridhar Mahadevan mahadeva@csee.usf.edu W2. Applications of descriptional complexity to afternoon/evening inductive, statistical and visual inference Ed Pednault epdp@research.att.com W3. Constructive induction and change of morning/afternoon representation Tom Fawcett fawcett@nynexst.com W4. Computational biology and machine learning morning/afternoon Mick Noordewier noordewi@cs.rutgers.edu Lindley Darden darden@umiacs.umd.edu REGISTRATION FOR COLT94/ML94 Please complete the registration form below, and mail it with your payment for the full amount to: Priscilla Rasmussen, ML/COLT'94 Rutgers, The State University of NJ Laboratory for Computer Science Research Hill Center, Busch Campus Piscataway, NJ 08855 (Sorry, registration cannot be made by email, phone or fax.) Make your check or money order payable in U.S. dollars to Rutgers University. For early registration, and to request dorm housing, this form must be mailed (via airmail, if outside the U.S.) by May 27, 1994. For questions about registration, please contact Priscilla Rasmussen (rasmussen@cs.rutgers.edu; 908-932-2768). Name: _____________________________________________________ Affiliation: ______________________________________________ Address: __________________________________________________ ___________________________________________________________ Country: __________________________________________________ Phone: _______________________ Fax: _______________________ Email: ____________________________________________________ Confirmation will be sent to you by email. REGISTRATION. Please circle the *one* conference for which you are registering. (Even if you are planning to attend both conferences, please indicate the one conference that you consider to be "primary.") COLT94 ML94 The registration fee includes a copy of the proceedings for the *one* conference circled above (extra proceedings can be ordered below). Also included is admission to all ML94 and COLT94 talks and events (except that student registration does not include a banquet ticket). Regular advance registration: $190 $_______ ACM/SIG member advance registration: $175 $_______ Late registration (after May 27): $230 $_______ Student advance registration: $85 $_______ Student late registration (after May 27): $110 $_______ Extra reception tickets (July 12): _____ x $17 = _______ Extra banquet tickets (July 13): _____ x $40 = _______ Extra COLT proceedings: _____ x $35 = _______ Extra ML proceedings: _____ x $35 = _______ Dorm housing (from below): $_______ TOTAL ENCLOSED: $_______ How many in your party have dietary restrictions? Vegetarian: _____ Kosher: _____ Other: ______________ Circle your shirt size: small medium large X-large HOUSING. Please indicate your housing preference below. Descriptions of the dorms are given under "housing" above. Dorm assignments will be made on a first come, first served basis, so please send your request in as early as possible. We will notify you by email if we cannot fill your request. _____ Check here if you plan to stay at the Hyatt (reservations must be made directly with the hotel by June 10). _____ Check here if you plan to make your own housing arrangements (other than at the Hyatt). _____ Check here to request a room in the dorms and circle the appropriate dollar amount below: Dorm: Stonier Campbell Length of stay: dbl. sing. dbl. ML only (July 9-13): $144 144 108 COLT only (July 11-15): 144 144 108 ML and COLT (July 9-15): 216 216 162 If staying in a double in the dorms, who will your roommate be? ____________________________________ For either dorm, please indicate expected day and time of arrival and departure. Note that check-in for the dorms must take place between 4pm and midnight on July 9-13. Expected arrival: ______ ______ (date) (time) Expected departure: ______ ______ (date) (time) TUTORIALS. The DIMACS-sponsored tutorials on July 10 are free and open to the general public. For our planning purposes, please circle those tutorials you plan to attend. Morning: T1 T2 T3 T4 Afternoon: T1 T5 T6 To participate in a workshop, please contact the workshop organizer directly. There is no fee for any workshop, and all workshops will be held on July 10. REFUNDS. The entire dorm fee, and one-half of the registration fee are refundable through June 24. Send all requests by email to rasmussen@cs.rutgers.edu.