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<hr><b> Archival Conferences</b> <p>Fisher, D. (1988).``A Computational Account of Basic Level and Typicality Effects'',<i> Proceedings of the Seventh National Conference on ArtificialIntelligence</i>. Minneapolis, MN: Morgan Kaufmann, 233-238.<p>Fisher, D. (1987). ``Improving Inference Through Conceptual Clustering,''<i> Proceedings of the Sixth National Conference on ArtificialIntelligence</i>, Seattle, WA: Morgan Kaufmann, 461-465.<p>Fisher, D. (1989). ``Noise-Tolerant Conceptual Clustering''<i> Proceedings of the International Joint Conference on ArtificialIntelligence</i>, Detroit, MI: Morgan Kaufmann, 825-830.<p>Fisher, D., & Langley, P. (1985).``Approaches to Conceptual Clustering,'' <i> Proceedings of the International Joint Conference on ArtificialIntelligence</i>, Los Angeles, CA: Morgan Kaufmann, 691-697.<p>Fisher, D., & McKusick, K. (1989).``An Empirical Comparison of ID3 and Back-propagation''<i> Proceedings of the International Joint Conference on ArtificialIntelligence</i>, Detroit, MI: Morgan Kaufmann, 788-793.<p>Schlimmer, J., & Fisher, D. (1986).``A Case Study of Incremental Concept Formation,''<i> Proceedings of the Fifth National Conference on Artificial Intelligence</i>, Philadelphia, PA: Morgan Kaufmann, 496-501.<p>Yoo, J., & Fisher, D. (1991).``Concept formation over explanations andproblem-solving experiences'' <i> Proceedings of theInternational Joint Conference onArtificial Intelligence</i>, Sydney, Australia: Morgan Kaufmann, 630-636.<hr><b> Other Conferences</b> <p>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.<p>Carlson, B., Weinberg, J., & Fisher, D. (1990).``Managing Search Using IncrementalConceptual Clustering''<i> Seventh International Conference on MachineLearning</i>. Austin, TX: Morgan Kaufmann.<p>Fisher, D., & Schlimmer, J. (1988). ``Concept Simplification and PredictionAccuracy,'' <i> Proceedings of the Fifth International MachineLearning Conference</i>. Ann Arbor, MI: Morgan Kaufmann.<p>Fisher, D., Xu, L., & Zard, N. (1992).``Ordering Effects in Clustering,''<i> Proceedings of the Eighth Intermational Machine LearningConference</i>, Aberdeen, UK: Morgan Kaufmann.<p>Manganaris, S., Fisher, D., & Kulkarni, D. (1993). ``Towards a MachineLearning Framework for Acquiring and Exploiting Monitoring andDiagnostic Knowledge,'' <i> The Eleventh International Conference onApplications of AI</i>, Orlando, FL: International Societyfor Optical Engineering.<p>Ortega, J., Lee, G., & Fisher, D. (1989).``Representation Issues in Learning from Examples''<i> Second International Conferenceon Industrial and Engineering Applications of Artificial Intelligence andExpert Systems</i>, Tullahoma, TN: ACM Press.<p>Rodriguez-Moscoso, J., & Fisher, D. (1989).``Intelligent, Real-Time TrafficControl: A Connectionist Model"<i> Second International Conferenceon Industrial and Engineering Applications of Artificial Intelligence andExpert Systems</i>, Tullahoma, TN: ACM Press.<p>Silber, J., & Fisher, D. (1989).``A Model of Natural Category Structure and itsBehavioral Implications" Annual Conference of the Cognitive Science Society,Ann Arbor, MI: Lawrence Erlbaum.<p>Yang, H., Fisher D., & Franke, H. (1990).``Improving Planning Efficiency byConceptual Clustering''<i> Third International Conferenceon Industrial and Engineering Applications of Artificial Intelligence andExpert Systems</i>, ACM Press.<hr><b> Workshops and Symposia</b><p>Carnes, R., & Fisher, D. (1992).``Inductive Learning Approaches to SensorPlacement and Diagnosis,'' <i> Second International Workshop onPrinciples of Diagnosis</i>, Rosario, WA.<p>Fisher, D. (1987).``Conceptual Clustering, Learning from Examples, and Inference,''<i> Proceedings of the Fourth International Workshop on MachineLearning</i>. Irvine, CA: Morgan Kaufmann.<p>Fisher, D. (1993).``Ordering Effects in Incremental Learning,'' <i> AAAISpring Symposium on Training Issues in Incremental Learning</i>, PaloAlto, CA.<p>Fisher, D., Ortega, J., & Gallaher, M. (1993).``Induction over All: A HybridApproach to Speedup Learning,'' <i> Third International Workshopon Knowledge Compilation and Speedup Learning</i>, Amherst, MA.<p>Fisher, D., Carnes, R., Yang, H., & Yoo, J. (1992).``Basic Levels of ProblemSolving and Related Phenomena,'' <i> AAAI Workshop on Approximationsand Abstractions</i>, San Jose, CA.<p> Fisher, D., Manganaris, S., & Yoo, J. (1992). Clustering approaches to Speedup Learning. In <CITE>Proc. of the ML92 Workshop on Knowledge Compilation & Speedup Learning</CITE>, Aberdeen, UK.<p> Fisher, D., Manganaris, S., Weinberg, J., & R. Carnes. (1992). Adaptively Interfacing Associative and Model-Based Diagnosis. In <CITE>Collected Abstracts of the First NASA Workshop on Monitoring and Diagnosis</CITE>, Pasadena, CA, January 1992.<p>Fisher, D., McKusick, K., Mooney, R., Shavlik, J., & Towell, G. (1989). ``Processing Issues in Comparisons of Symbolic and Connectionist LearningSystems" <i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:Morgan Kaufmann.<p>Fisher, D., Subramanian, D., & Tadepalli, P. (1992).``An overview of currentresearch on knowledge compilation and speedup learning.''<i> Workshop on Knowledge Compilation and SpeedupLearning</i>, Aberdeen, UK.<p>Fisher D., Yang, H., & Yoo, J. (1990).``Case-Based and Abstraction-Based Reasoning'' AAAI Symposium on Case-Based Reasoning, Palo Alto, CA:AAAI Press.<p>Fisher, D., & Yoo, J. (1991).``Combining evidence from deep and surfacefeatures'' <i> Proceedings of the International Workshop on Machine Learning</i>,Chicago, IL: Morgan Kaufmann.<p> Manganaris, S. & Fisher, D. and Kulkarni, D. (1993). Discovering Operating Modes in Telemetry Data from the Shuttle Reaction Control System. In <CITE>Proc. of the Seventh Annual Workshop on Space Operations, Applications, and Research (SOAR '93)</CITE>, NASA JSC, Huston, TX, August 1993.<p>Manganaris, S., & Fisher, D. (1994). ``Learning Time Series forIntelligent Monitoring,'' <i> i-SAIRAS</i>,Pasadena, CA.<p>Ortega, J., & Fisher, D. (1993).``Inductive Speedup Learning Revisited withFOIL,'' <i> Third International Workshopon Knowledge Compilation and Speedup Learning</i>, Amherst, MA.<p>Rodriguez-Moscoso, J., & Fisher, D. (1989).``A Connectionist Model of Intelligent, Real-Time Traffic Control"<i> Second International Workshop on Neural Networks and Their Applications (Neuro-Nimes)</i>.<p>Yang, H., & Fisher, D. (1989).``Conceptual Clustering of Means-Ends Plans,''<i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:Morgan Kaufmann.<p>Yang, H., & Fisher, D. (1993).``Planning Speedup by Learning, Reusing,and Patching Macro Operators,'' <i> Third International Workshopon Knowledge Compilation and Speedup Learning</i>, Amherst, MA.<p>Yang, H., Franke, H., & Fisher D. (1990).``Planning, Replanning, and Learningwith an Abstraction Hierarchy'' AAAI Symposium on Planningin Uncertain Environments, Palo Alto, CA: AAAI Press.<p>Yoo, J., & Fisher, D. (1989). ``Conceptual Clustering of Explanations,''<i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:Morgan Kaufmann.<p>Yoo, J., & Fisher, D. (1991).``Identifying cost-effective boundaries ofoperationality'' <i> Proceedings of the International Workshop on Machine Learning</i>, Chicago, IL: Morgan Kaufmann.<hr><b> Technical Reports (selected)</b><p>Fisher, D. (1985).``A Hierarchical Conceptual Clustering Algorithm,'' Technical Report85-21, Department of Information and Computer Science, University ofCalifornia, Irvine.<p> Fisher, D. (1995).<!WA23><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/tr-95-01.html">Iterative Optimization and Simplification ofHierarchical Clusterings (TR CS-95-01) </A><p>Fisher, D. (1987).``Knowledge Acquisition Via Incremental Conceptual Clustering,''Technical Report 87-22 (Doctoral Dissertation), Department ofInformation and Computer Science, University of California, Irvine.<p> Fisher, D. (1992).<!WA24><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/tr-92-12.html">Pessimistic and Optimistic Induction (TR CS-92-12) </A><p>Fisher, D., & Schlimmer, J. (1988).``Models of Incremental Concept Learning,''TechnicalReport 88-05, Department of Computer Science, Vanderbilt University,Nashville, TN.<p>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.<p>One of 24 coauthors. (1991).``The MONK Problems - A Performance Comparisonof Different Learning Algorithms'' CMU Technical Report CS-91-197,Department of Computer Science, CMU, Pittsburgh, PA.
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