http://www.cs.cmu.edu/~tom/publications.html
Selected Publications by Tom Mitchell
Selected Publications by
Tom Mitchell
Books:
-
Machine
Learning , T.M. Mitchell, McGraw Hill, 1997.
-
Mind Matters: A Tribute to Allen Newell, D. Steier and T.
Mitchell (eds.), Erlbaum, 1996.
-
Recent Advances in Robot Learning, J. Franklin, T.
Mitchell, and S. Thrun (eds.), Kluwer Academic
Publishers, 1996.
- Machine Learning: An Artificial Intelligence Approach.
Volume 2
Michalski, Carbonell, and Mitchell, eds., Morgan-Kaufman, 1986.
- Machine Learning: An Artificial Intelligence Approach,
Michalski,
Carbonell, and Mitchell, eds., Tioga Press, 1983.
Selected Articles:
- "Learning to Identify Overlapping
and Hidden Cognitive Processes from fMRI
Data,"R. Hutchinson, T.M. Mitchell, I. Rustandi, 11th
Conference on Human Brain
Mapping, to appear, June, 2005.
- "Detecting Significant
Multidimensional Spatial Clusters," D. Neill,
A. Moore, F. Pereira, T. Mitchell, Neural Information Processing
Systems
2004. December 2004.
- "Learning to Decode
Cognitive States from Brain Images," T.M. Mitchell, R. Hutchinson,
R.S. Niculescu, F.Pereira, X. Wang, M. Just, and S. Newman,
Machine Learning, Vol. 57, Issue 1-2, pp. 145-175. October
2004.
- "Learning to Classify Email into
Speech
Acts," W. W. Cohen, V. R. Carvalho, T.M. Mitchell, Empirical
Methods in
Natural Language Processing, Barcelona, July 2004.
- "Inferring Ongoing Activities of
Workstation
Users by Clustering Email ," Y. Huang, D. Govindaraju, T. M.
Mitchell, V. R.
Carvalho, W. W. Cohen, First Conference on Email and Spam,
Mountain View,
CA, July 2004.
- "Training fMRI Classifiers to
Detect Cognitive States across Multiple Human Subjects ," X. Wang,
R. Hutchinson, and T. M. Mitchell, Neural Information Processing
Systems 2003. December 2003.
- "Classifying Instantaneous
Cognitive States from fMRI Data," T. Mitchell, R. Hutchinson, M.
Just, R.S. Niculescu, F. Pereira, X. Wang, American Medical
Informatics Association Symposium, October 2003. (received Best
Foundational Paper Award)
- "Active Learning
with Multiple View Feature
Sets," R. Jones, R. Ghani, T.M. Mitchell and E. Riloff, ECML
2003
Workshop on Adaptive Text Extraction and Mining , 2003.
- "Distinguishing natural language processes on the basis of
fMRI-measured
brain activation," F. Pereira, M. Just, T. Mitchell, PKDD 2001,
Freiburg, Germany, 2001.
- "Discovering test set
regularities in relational domains," S. Slattery and
T.M. Mitchell. Proceedings of the 17th International Conference on
Machine
Learning (ICML-00), pp. 895-902, Morgan Kaufmann, 2000.
- "Predicting Caesarean Section with Decision Trees," C. Simms, R.
Caruana,
M.J. Krohn, L. Meyn, T.M. Mitchell, R.B. Rao, and I. Schmeuking, Annual
Meeting of the Society of Fetal and Maternal Medicine, February
2000
- "
Machine Learning and Data Mining," T. Mitchell, Communications
of the ACM, Vol. 42, No. 11,
November 1999.
- "
Learning to Construct Knowledge Bases from the World Wide Web,"
M. Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell,
K. Nigam, and S. Slattery, Artificial Intelligence, Elsevier,
1999.
- "
Text Classification from Labeled and Unlabeled Documents using EM,"
K. Nigam, Andrew McCallum, Sebastian Thrun and Tom Mitchell. Machine
Learning, Kluwer Academic Press, 1999.
- "
The Role of Unlabeled Data in Supervised Learning," T. Mitchell, Proceedings
of the Sixth International Colloquium on
Cognitive Science, San Sebastian, Spain, 1999 (invited paper),
subsequently published in Language, Knowledge, and Representation ,
J.M. Larrazabal and L. A. Perez Miranda (eds.), Kluwer Academic
Publishers, 2004.
- "
Combining Labeled and Unlabeled Data with Co-Training," A. Blum and
T. Mitchell, Proceedings of the 1998 Conference on Computational
Learning
Theory, July 1998.
- "
Improving Text Classification by Shrinkage in a Hierarchy of Classes,"
A. McCallum, R. Rosenfeld, T. Mitchell and A. Ng. Proceedings of
the 1998 International Conference on Machine Learning. July 1998.
- "
Learning to Extract Symbolic Knowledge from the World Wide Web," M.
Craven, D. DiPasquo, D. Freitag, A. McCallum, T. Mitchell,
K. Nigam, and S. Slattery, Proceedings of the 1998 National
Conference on Artificial Intelligence, July 1998.
- "Learning to Classify Text from Labeled and Unlabeled
Documents," A. McCallum,
K. Nigam, S. Thrun, and T. Mitchell, Proceedings of the 1998
National
Conference on Artificial Intelligence, July 1998.
- "Data Mining at CALD-CMU: Tools, Experiences and Research
Directions"
C. Faloutsos, G. Gibson, T. Mitchell, A. Moore, S. Thrun, First
Federal
Data Mining Symposium, Washington, D.C., December 1997.
- "Does Machine Learning Really Work?," T. Mitchell, Invited
paper, AI
Magazine, Vol. 18, Number 3, AAAI Press, Fall 1997, p.11-20.
- "
WebWatcher: A Tour Guide for the World Wide Web," T. Joachims, D.
Freitag, and T. Mitchell, Proceedings of the 1997
IJCAI, August 1997.
- "An Evaluation of Machine-Learning Methods for Predicting
Pneumonia
Mortality," G. Cooper, C. Aliferis, R. Ambrosino, J. Aronic, B.
Buchanan,
R. Caruana, M. Fine, C. Glymour, G. Gordon, B. Hanusa, J. Janosky, C.
Meek,
T. Mitchell, R. Richardson, and P. Spirtes, Artificial Intelligence
in
Medicine, 1997.
- "Lifelong Robot Learning," S. Thrun and T.M. Mitchell, in Robotics
and
Autonomous Systems, 15, pp. 24-46, 1995.
- "
Using the Future to Sort Out the Present: Rankprop and Multitask
Learning for Medical Risk Analysis," R. Caruana, S. Baluja, and
T. Mitchell, Neural Information Processing 7, December 1995.
- "
Explanation Based Learning for Mobile Robot Perception", J.
O'Sullivan, T. Mitchell, and S. Thrun, in Symbolic Visual
Learning, Ikeuchi and Veloso (eds.), 1996.
- "WebWatcher: A Learning Apprentice for the World Wide Web", R.
Armstrong, D.
Freitag, T. Joachims, and T. Mitchell, in 1995 AAAI Spring Symposium on
Information Gathering from Heterogeneous, Distributed Environments,
March
1995.
- "
Learning One More Thing", S. Thrun and T.M. Mitchell, Proceedings
of IJCAI 1995,
Montreal, August, 1995.
- "
Learning Analytically and Inductively", T. Mitchell and S. Thrun,
in
Mind Matters: A Tribute to Allen Newell, Steier and Mitchell
(eds.),
Erlbaum, 1995.
- "
Experience With a Learning Personal Assistant", T.M. Mitchell, R.
Caruana,
D. Freitag, J. McDermott, and D. Zabowski, Communications of the ACM,
Vol. 37, No. 7, pp. 81-91, July 1994.
- "Explanation-Based Learning: A Comparison of Symbolic and Neural
Network
Approaches", T.M. Mitchell and S.B. Thrun, Tenth International
Conference
on Machine Learning, Amherst, MA, June 27-29, 1993.
- "Office Automation Systems that are Programmed by their Users",
S. Bocionek
and T.M. Mitchell. 23rd Annual Conference of the German Association
of
Computer Science (Gesellschaft fur Informatik, GI), Dresden,
Germany,
September, 1993.
- "
Explanation-Based Neural Network Learning for Robot Control", T.M.
Mitchell and S.B. Thrun, Advances in Neural Information
Processing Systems 5, Hanson, Cowan, and Giles (eds.),
Morgan-Kaufmann Press, 1993, pp. 287-294.
- "The Engineering Design Research Center of Carnegie Mellon
University", G.H.
Demes, S.J. Fenves, I.E. Grossmann, C.T. Hendrickson, T.M. Mitchell,
F.B.
Prinz, D.P. Siewiorek, E. Subramanian, S. Talukdar, A. Westerberg,
Proceedings of the IEEE, Special Issue on Engineering
Research Centers,
Invited paper, Vol. 81, No. 1, pp. 10-24, January, 1993.
- "Integrating Inductive Neural Network Learning and
Explanation-Based
Learning", Thrun, S., and Mitchell, T.M., Proceedings of the 1993
International Joint Conference on Artificial Intelligence, August
1993.
- "A Personal Learning Apprentice", Dent, L., Boticario, J.,
McDermott,
J., Mitchell, T., and Zabowski, D., 1992 National Conference on
AI, July, 1992.
- "An Apprentice-Based Approach to Knowledge Acquisition",
Mahadevan, S.,
Mitchell, T., Mostow, D.J., Steinberg, L., Tadepalli, P., Artificial
Intelligence Vol 64, No. 1, (November 1993), pages 1-52.
- "
Becoming Increasingly Reactive", T.M. Mitchell, 1990 National
Conference on AI, Cambridge, MA,
August, 1990.
- "Embedding Learning in a General Frame-Based Architecture", T.
Tanaka
and T.M. Mitchell, International Journal of Pattern Recognition and
Artificial Intelligence, Vol. 4, No. 2, pp. 125-145, June 1990.
- "An Autonomous Rover for Exploring Mars", J. Bares, M. Hebert,
T. Kanade, E.
Krotkov, T. Mitchell, R. Simmons, W. Whittaker, IEEE Computer,
Special
Issue on Autonomous Intelligent Machines, June, 1989 pp18-26.
- "Theo: A Framework for Self-Improving Systems", Tom M. Mitchell,
John Allen,
Prasad Chalasani, John Cheng, Oren Etzioni, Marc N. Ringuette, Jeffrey
C.
Schlimmer, in "Architectures for Intelligence", K. Vanlehn (ed.),
Lawrence
Erlbaum Associates, New Jersey, 1991, pp. 323-356.
- "Progress Toward a Knowledge-Based Aid for Mechanical Design",
N.A.
Langrana and T.M. Mitchell, ASME Symposium on Integrated Intelligent
Manufacturing: Analysis and Synthesis, December 1986.
- "Explanation-Based Generalization: A Unifying View", T.
Mitchell, R.
Keller, and S. Kedar-Cabelli, Machine Learning, vol.
1, issue 1, January, 1986.
- "LEAP: A Learning Apprentice for VLSI Design", T. Mitchell, S.
Mahadevan, and L. Steinberg, Ninth International Joint
Conference on Artificial Intelligence, August 1985. Also a chapter
in Machine Learning: An Artificial Intelligence Approach, Vol. III,
Kodratoff and Michalski (eds.), Morgan Kaufmann Press, 1990.
- "A Knowledge-Based Approach to VLSI CAD", L. Steinberg and T.
Mitchell, in Proceedings of the 21st Design Automation Conference,
IEEE and ACM, Albequerque, New Mexico, June 1984 (received Best Paper
Award).
- "A Knowledge-Based Approach to Design", T. Mitchell, L.
Steinberg,
and J. Shulman, IEEE Transactions on Pattern Analysis and Machine
Intelligence, September, 1985.
- "Learning and Problem-Solving", T. Mitchell, in Proceedings
of the
Eighth International Joint Conference on Artificial Intelligence,
Karlsruhe, Germany, August 1983 (Computers and Thought Award Paper).
- "Learning by Experimentation: Acquiring and Modifying
Problem-Solving
Heuristics", T. Mitchell, P. Utgoff, and R. Banerji, in Machine
Learning, Michalski, Carbonell, and Mitchell (eds.), Tioga Press,
1983,
pp.163-190. Also Rutgers Computer Science Department Technical Report
LCSR-TR-31.
- "Generalization as Search", T.M. Mitchell, Artificial
Intelligence, Volume 18, No. 2, 1982. Also appears in Readings
in Artificial Intelligence, Webber and Nilsson (eds.), Tioga Press,
1981, pp. 517-542.
- "Learning Problem-Solving Heuristics by Practice", T.M.
Mitchell, P. Utgoff,
B. Nudel, R. Banerji, Proceedings of the 7th International Joint
Conference on Artificial Intelligence, Aug., 1981, pp. 127-134.
- "The Need for Biases in Learning Generalizations", T.M.
Mitchell, Rutgers
Computer Science Department Technical Report CBM-TR-117, May, 1980.
Reprinted
in Readings in Machine Learning, J. Shavlik and T. Dietterich,
eds.,
Morgan Kaufmann, 1990.
- "Applications of Artificial Intelligence
for Chemical Inference XXV. A Computer Program for Automated Empirical
13C-NMR Rule Formation", T.M. Mitchell and G.M. Schwenzer, Organic
Magnetic Resonance, vol. 11, no. 8, 1978, pp. 378-384.
- "Version Spaces: A Candidate Elimination Approach to Rule
Learning",
T.M. Mitchell, Proceedings of the 5th International Joint
Conference on Artificial Intelligence, Cambridge MA, August 1977,
pp. 305-310.