Date: Tue, 26 Nov 1996 00:59:49 GMT Server: Apache/1.1.1 Content-type: text/html Content-length: 19291 Last-modified: Mon, 29 Apr 1996 12:57:59 GMT D. H. Fisher Research Group

Doug Fisher's research group list

Department of Computer Science
Box 1679, Station B
Vanderbilt University
Nashville, Tennessee 37235
USA
Phone: (615) 343-4111
FAX: (615) 343-8006
Email: dfisher@vuse.vanderbilt.edu

A full list of publications can be found at the latter portion of this page. Gradually, abstracts of these publications will be placed on line in html form, with pointers to subsequent work, raw data, reader comments, and other material appropriate for an addendum. A list of current online reports or addenda are given first.

Online Reports and Addenda

In many cases, technical reports and electronic addenda of published work will be placed on line here in both postscript and html format (though not necessarily at the same time). Your comments are welcome. In certain of these cases, should you email comments regarding related literature, suggestions for experimental or theoretical improvements, alternative viewpoints, then your comments, if reasonable and informative, they will be linked to the html version of the technical report (or addendum) and under a separate list of comments -- unless you state that you do not want this to be done. I may also link responses to your comments, but not before getting your feedback on a response.

Comments on purely style issues are welcome, but they probably will not be linked in. Others who view the technical report will be free to view your comments as well. If your comments inform a revision of the report (e.g., for publication), then I will acknowledge them as a personal communication, or otherwise cite the literature that you relate (if I deem it relevant). If your comments are online and linked to a report, then you agree to allow others to cite them as personal communication as well (again, unless you state that your comments should not be linked).

The following is a list of technical report titles, addenda, etc. that are currently online. These are links to either postscript versions of the paper, or html `headers' that allow access to postscript and html versions.

Online Research Titles:

Fisher, D. (1992). Pessimistic and Optimistic Induction (TR CS-92-12).

Fisher, D. (1995). Iterative Optimization and Simplification of Hierarchical Clusterings (TR CS-95-01). Superceded by JAIR paper of same name.

Fisher (1995). An addendum to `Machine Learning Approaches to Estimating Software Development Effort' (IEEE TSE, 1995)

Fisher, D. (in preparation). A Survey of Supervised, Machine Learning Systems (coming soon).

Ortega, J. (1995). On the informativeness of the DNA promoter sequences domain theory. Journal of Artificial Intelligence Research.

Fisher, D. (1996). Iterative Optimization and Simplification of Hierarchical Clusterings. Journal of Artificial Intelligence Research, 4, pp. 147-180.

Lin, J. (1995). A comparative study of default strategies for a decision list learner. Masters Thesis. Department of Computer Science, Vanderbilt University, Nashville, TN.

Manganaris, S. (1996). "A Bayesian Density Estimation Algorithm." (abstract, html) Submitted to KDD '96 and ISIS.
PostScript (182K) abdea.ps.

Manganaris, S. (1995). "Learning to Classify Sensor Data." IJCAI '95, Workshop on Machine Learning in Engineering.
PostScript (209K) ltcsd.ps.

Manganaris, S. (1995). "Bayesian Induction of Features in Temporal Domains." (abstract, html) IJCAI '95, Workshop on Data Engineering for Inductive Learning.
PostScript (210K) biofitd.ps.

Manganaris, S. & Fisher, D. (1994). "Learning Time Series for Intelligent Monitoring." In Proc. of the Third Intl. Symposium on Artificial Intelligence, Robotics, and Automation for Space, pages 71-74, Pasadena, CA, October 1994.



Other Research Titles:

In some cases, abstracts or other auxiliary material is online for these titles.

Archival Periodicals

Evans, B., & Fisher, D. (1994). ``Process delay analysis using decision tree induction.'' IEEE Expert, 9, 1, 60-66.

Fisher, D. (1987) ``Knowledge Acquisition Via Incremental Conceptual Clustering,'' Machine Learning, 2, 139-172. Reprinted in Readings in Machine Learning, J. Shavlik & T. Dietterich (Eds.), 267-283, Morgan Kaufmann, 1990.

Fisher, D. (1996). Iterative Optimization and Simplification of Hierarchical Clusterings. Journal of Artificial Intelligence Research, 4, pp. 147-180.

Fisher, D., & Chan, P. (1990). ``Statistical Guidance in Symbolic Learning,'' Annals of Mathematics and Artificial Intelligence, 2, 135-148.

Fisher, D., & Hapanyengwi, G. (1993). ``Database Management and Analysis Tools of Machine Learning.'' Journal of Intelligent Information Systems, 2, 5-38.

Fisher, D., & Langley, P. (1990). ``The Structure and Formation of Natural Categories," In Gordon Bower (Ed.), The Psychology of Learning and Motivation, Vol. 26, San Diego, CA: Academic Press, 241-284.

Fisher, D., & Yoo, J. (1993). ``Problem solving, categorization, and concept learning: A unifying view'' In Nakamura, G., Taraban, R., & Medin, D. (Eds.) The Psychology of Learning and Motivation, Vol. 29, San Diego, CA: Academic Press, 219-255.

Fisher, D., Xu, L., Carnes, R., Reich, Y., Fenves, S., Chen, J., Shiavi, R., Biswas, G., & Weinberg, J. (1993). ``Applying AI clustering to engineering tasks.'' IEEE Expert, 8, 6, 51-60.

Gennari, J., Langley, P., & Fisher, D. (1989). ``Models of Incremental Concept Formation'', Artificial Intelligence, 40, 11-62.

Ortega, J. (1995). On the informativeness of the DNA promoter sequences domain theory. Journal of Artificial Intelligence Research.

Saraf, R., & Fisher, D. (in press) ``Online signal-plan generation for centralized traffic control using neural networks.'' IVHS Journal.

Srinivasan, K., & Fisher, D. (1995). iii) ``Machine learning approaches to estimating software development effort.'' IEEE Transactions on Software Engineering, 21, 126-137.


Books and Chapters therein

Fisher, D., & Lenz, H.J., Eds. (1996). Learning from Data: Artificial and Intelligence V. New York, NY: Springer Verlag, 450 pages, 42 chapters.

Fisher, D., Pazzani, M., & Langley, P., Eds., (1991). Concept Formation: Experience and Knowledge in Unsupervised Learning. San Mateo, CA: Morgan Kaufmann, 472 pages, 15 chapters.

Fisher, D., & Pazzani, M. (1991). ``Computational Models of Concept Induction'' In Fisher, D., Pazzani, M., & Langley, P. (Eds.) Concept Formation: Experience and Knowledge in Unsupervised Learning. San Mateo, CA: Morgan Kaufmann, 3-44.

Fisher, D., & Pazzani, M. (1991). ``Theory-Guided Concept Formation'' In Fisher, D., Pazzani, M., & Langley, P. (Eds.) Concept Formation: Experience and Knowledge in Unsupervised Learning. San Mateo, CA: Morgan Kaufmann, 165-178.

Fisher, D., & Pazzani, M. (1991). ``Concept Formation in Context'' In Fisher, D., Pazzani, M., & Langley, P. (Eds.) Concept Formation: Experience and Knowledge in Unsupervised Learning. San Mateo, CA: Morgan Kaufmann, 307-322.

Yoo, J., & Fisher, D. (1991). ``Concept Formation over Problem-Solving Experience'' In Fisher, D., Pazzani, M., & Langley, P. (Eds.) Concept Formation: Experience and Knowledge in Unsupervised Learning. San Mateo, CA: Morgan Kaufmann, 279-306.


Other Book Chapters

Biswas, G., Goldman, S., Fisher, D., Bhuva, B., & Glewwe, G. (1995). ``Assessing Design Activity in Complex CMOS Circuit Design'' In P. Nichols, S. Chipman, & B. Brennan (Eds.), Cognitively Diagnostic Assessment, Lawrence Erlbaum, pp. 167-188.

Evans, R., & Fisher, D. (in press). ``Mitigating Delays in Printing with Interactive Machine Induction'' In P. Langley & Y. Kodratoff (Eds.), Fielded Applications of Machine Learning, Morgan Kaufmann.

Fisher, D., & Langley, P. (1986). ``Methods of conceptual clustering and their relation to numerical taxonomy,'' In W. Gale (Ed.), Artificial Intelligence and Statistics. Addison-Wesley, 77-116.


Archival Conferences

Fisher, D. (1988). ``A Computational Account of Basic Level and Typicality Effects'', Proceedings of the Seventh National Conference on Artificial Intelligence. Minneapolis, MN: Morgan Kaufmann, 233-238.

Fisher, D. (1987). ``Improving Inference Through Conceptual Clustering,'' Proceedings of the Sixth National Conference on Artificial Intelligence, Seattle, WA: Morgan Kaufmann, 461-465.

Fisher, D. (1989). ``Noise-Tolerant Conceptual Clustering'' Proceedings of the International Joint Conference on Artificial Intelligence, Detroit, MI: Morgan Kaufmann, 825-830.

Fisher, D., & Langley, P. (1985). ``Approaches to Conceptual Clustering,'' Proceedings of the International Joint Conference on Artificial Intelligence, Los Angeles, CA: Morgan Kaufmann, 691-697.

Fisher, D., & McKusick, K. (1989). ``An Empirical Comparison of ID3 and Back-propagation'' Proceedings of the International Joint Conference on Artificial Intelligence, Detroit, MI: Morgan Kaufmann, 788-793.

Schlimmer, J., & Fisher, D. (1986). ``A Case Study of Incremental Concept Formation,'' Proceedings of the Fifth National Conference on Artificial Intelligence, Philadelphia, PA: Morgan Kaufmann, 496-501.

Yoo, J., & Fisher, D. (1991). ``Concept formation over explanations and problem-solving experiences'' Proceedings of the International Joint Conference on Artificial Intelligence, Sydney, Australia: Morgan Kaufmann, 630-636.


Other Conferences

Billman, D., Fisher, D., Gluck, M., Langley, P., & Pazzani, M. (1990). ``Computational Models of Category Learning'' Annual Conference of the Cognitive Science Society, Boston, MA: Lawrence Erlbaum.

Carlson, B., Weinberg, J., & Fisher, D. (1990). ``Managing Search Using Incremental Conceptual Clustering'' Seventh International Conference on Machine Learning. Austin, TX: Morgan Kaufmann.

Fisher, D., & Schlimmer, J. (1988). ``Concept Simplification and Prediction Accuracy,'' Proceedings of the Fifth International Machine Learning Conference. Ann Arbor, MI: Morgan Kaufmann.

Fisher, D., Xu, L., & Zard, N. (1992). ``Ordering Effects in Clustering,'' Proceedings of the Eighth Intermational Machine Learning Conference, Aberdeen, UK: Morgan Kaufmann.

Manganaris, S., Fisher, D., & Kulkarni, D. (1993). ``Towards a Machine Learning Framework for Acquiring and Exploiting Monitoring and Diagnostic Knowledge,'' The Eleventh International Conference on Applications of AI, Orlando, FL: International Society for Optical Engineering.

Ortega, J., Lee, G., & Fisher, D. (1989). ``Representation Issues in Learning from Examples'' Second International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Tullahoma, TN: ACM Press.

Rodriguez-Moscoso, J., & Fisher, D. (1989). ``Intelligent, Real-Time Traffic Control: A Connectionist Model" Second International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Tullahoma, TN: ACM Press.

Silber, J., & Fisher, D. (1989). ``A Model of Natural Category Structure and its Behavioral Implications" Annual Conference of the Cognitive Science Society, Ann Arbor, MI: Lawrence Erlbaum.

Yang, H., Fisher D., & Franke, H. (1990). ``Improving Planning Efficiency by Conceptual Clustering'' Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, ACM Press.


Workshops and Symposia

Carnes, R., & Fisher, D. (1992). ``Inductive Learning Approaches to Sensor Placement and Diagnosis,'' Second International Workshop on Principles of Diagnosis, Rosario, WA.

Fisher, D. (1987). ``Conceptual Clustering, Learning from Examples, and Inference,'' Proceedings of the Fourth International Workshop on Machine Learning. Irvine, CA: Morgan Kaufmann.

Fisher, D. (1993). ``Ordering Effects in Incremental Learning,'' AAAI Spring Symposium on Training Issues in Incremental Learning, Palo Alto, CA.

Fisher, D., Ortega, J., & Gallaher, M. (1993). ``Induction over All: A Hybrid Approach to Speedup Learning,'' Third International Workshop on Knowledge Compilation and Speedup Learning, Amherst, MA.

Fisher, D., Carnes, R., Yang, H., & Yoo, J. (1992). ``Basic Levels of Problem Solving and Related Phenomena,'' AAAI Workshop on Approximations and Abstractions, San Jose, CA.

Fisher, D., Manganaris, S., & Yoo, J. (1992). Clustering approaches to Speedup Learning. In Proc. of the ML92 Workshop on Knowledge Compilation & Speedup Learning, Aberdeen, UK.

Fisher, D., Manganaris, S., Weinberg, J., & R. Carnes. (1992). Adaptively Interfacing Associative and Model-Based Diagnosis. In Collected Abstracts of the First NASA Workshop on Monitoring and Diagnosis, Pasadena, CA, January 1992.

Fisher, D., McKusick, K., Mooney, R., Shavlik, J., & Towell, G. (1989). ``Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems" Sixth International Machine Learning Workshop, Ithaca, NY: Morgan Kaufmann.

Fisher, D., Subramanian, D., & Tadepalli, P. (1992). ``An overview of current research on knowledge compilation and speedup learning.'' Workshop on Knowledge Compilation and Speedup Learning, Aberdeen, UK.

Fisher D., Yang, H., & Yoo, J. (1990). ``Case-Based and Abstraction-Based Reasoning'' AAAI Symposium on Case-Based Reasoning, Palo Alto, CA: AAAI Press.

Fisher, D., & Yoo, J. (1991). ``Combining evidence from deep and surface features'' Proceedings of the International Workshop on Machine Learning, Chicago, IL: Morgan Kaufmann.

Manganaris, S. & Fisher, D. and Kulkarni, D. (1993). Discovering Operating Modes in Telemetry Data from the Shuttle Reaction Control System. In Proc. of the Seventh Annual Workshop on Space Operations, Applications, and Research (SOAR '93), NASA JSC, Huston, TX, August 1993.

Manganaris, S., & Fisher, D. (1994). ``Learning Time Series for Intelligent Monitoring,'' i-SAIRAS, Pasadena, CA.

Ortega, J., & Fisher, D. (1993). ``Inductive Speedup Learning Revisited with FOIL,'' Third International Workshop on Knowledge Compilation and Speedup Learning, Amherst, MA.

Rodriguez-Moscoso, J., & Fisher, D. (1989). ``A Connectionist Model of Intelligent, Real-Time Traffic Control" Second International Workshop on Neural Networks and Their Applications (Neuro-Nimes).

Yang, H., & Fisher, D. (1989). ``Conceptual Clustering of Means-Ends Plans,'' Sixth International Machine Learning Workshop, Ithaca, NY: Morgan Kaufmann.

Yang, H., & Fisher, D. (1993). ``Planning Speedup by Learning, Reusing, and Patching Macro Operators,'' Third International Workshop on Knowledge Compilation and Speedup Learning, Amherst, MA.

Yang, H., Franke, H., & Fisher D. (1990). ``Planning, Replanning, and Learning with an Abstraction Hierarchy'' AAAI Symposium on Planning in Uncertain Environments, Palo Alto, CA: AAAI Press.

Yoo, J., & Fisher, D. (1989). ``Conceptual Clustering of Explanations,'' Sixth International Machine Learning Workshop, Ithaca, NY: Morgan Kaufmann.

Yoo, J., & Fisher, D. (1991). ``Identifying cost-effective boundaries of operationality'' Proceedings of the International Workshop on Machine Learning, Chicago, IL: Morgan Kaufmann.


Technical Reports (selected)

Fisher, D. (1985). ``A Hierarchical Conceptual Clustering Algorithm,'' Technical Report 85-21, Department of Information and Computer Science, University of California, Irvine.

Fisher, D. (1995). Iterative Optimization and Simplification of Hierarchical Clusterings (TR CS-95-01)

Fisher, D. (1987). ``Knowledge Acquisition Via Incremental Conceptual Clustering,'' Technical Report 87-22 (Doctoral Dissertation), Department of Information and Computer Science, University of California, Irvine.

Fisher, D. (1992). Pessimistic and Optimistic Induction (TR CS-92-12)

Fisher, D., & Schlimmer, J. (1988). ``Models of Incremental Concept Learning,'' Technical Report 88-05, Department of Computer Science, Vanderbilt University, Nashville, TN.

Langley, P., Simon, H., Zytkow, J., & Fisher, D. (1985). ``Discovering Qualitative Empirical Laws,'' Technical Report 85-18, Department of Information and Computer Science, University of California, Irvine.

One of 24 coauthors. (1991). ``The MONK Problems - A Performance Comparison of Different Learning Algorithms'' CMU Technical Report CS-91-197, Department of Computer Science, CMU, Pittsburgh, PA.