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: * "The Discipline of Machine Learning," T. M. Mitchell, Machine Learning Department technical report CMU-ML-06-108, Carnegie Mellon University, July 2006. * "Extracting Knowledge about Users' Activities from Raw Workstation Contents," T. M. Mitchell, S. Wang, Y. Huang, A. Cheyer, Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-2006), July 2006. * "Hidden Process Models," R. A. Hutchinson, T. M Mitchell, and I. Rustandi, Proceedings of the International Conference on Machine Learning, Pittsburgh, PA, June 2006. * "Text Clustering with Extended User Feedback," Y. Huang and T. Mitchell, Proceedings of the ACM SIGIR Conference, August, 2006. * "Decoding of Semantic Category Information from Single Trial fMRI Activation in Response to Word Stimul Using Searchlight Voxel Selection," F. Pereira, R. Mason, M. Just, T. Mitchell, N. Kriegeskorte, 12th Conference on Human Brain Mapping, June, 2006. * "Classifying cognitive states associated with reading single words and two-word sentences," Svetlana V. Shinkareva, Robert A. Mason, Vicente L. Malave, Tom M. Mitchell, Marcel A. Just. 12th Conference on Human Brain Mapping, June, 2006. * "Bayesian Network Learning with Parameter Constraints," R.S. Niculescu, T.M. Mitchell, R.B. Rao, Journal of Machine Learning Research, 7, pp. 1357-1383, July 2006. * "Semi-Supervised Text Classification Using EM," K. Nigam, A. McCallum, and T. Mitchell, in Semi-Supervised Learning, Olivier Chapelle, Bernhard Sch¨olkopf, and Alexander Zien (eds.), MIT Press, 2006. * "Exploring Predictive and Reproducible Modeling with the Single-Subject FIAC Data Set," X. Chen, F. Pereira, W. Lee, S. Strother, T. Mitchell, Human Brain Mapping, 2006. * "Learning to Identify Overlapping and Hidden Cognitive Processes from fMRI Data,"R. Hutchinson, T.M. Mitchell, I. Rustandi, 11th Conference on Human Brain Mapping, June, 2005. * "Predicting Dire Outcomes of Patients with Community Acquired Pneumonia," G.F.Cooper, V. Abraham, C. F. Aliferis, J M. Aronis, B. G. Buchanan, R. Caruana, M. J. Fine, J. E. Janosky, G. Livingston, T. Mitchell, S. Montik, and P. Spirtes, Journal of Biomedical Informatics, 38, 2005, pp. 347-366. * "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. * "Representation and Use of Explicit Justifications for Knowledge Base Refinement," R. G. Smith, H. Winston, T.M. Mitchell, B. G. Buchanan, Proceedings of the International Joint Conference on Artificial Intelligence, 1985. * "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 Design", T. Mitchell, L. Steinberg, and J. Shulman, IEEE Transactions on Pattern Analysis and Machine Intelligence, September, 1985. * "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). * "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. * "Models of Learning Systems," B.G. Buchanan, T.M. Mitchell, R.G. Smith, C.R. Johnson, in Encyclopedia of Computer Science and Technology, vol. 11, Marcel Dekker, New York, NY, pp. 24-51. 1978. * "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.