Machine Learning: An Artificial Intelligence
Michalski, Carbonell, and Mitchell, eds., Morgan-Kaufman, 1986.
Machine Learning: An Artificial Intelligence
Carbonell, and Mitchell, eds., Tioga Press, 1983.
Translation Invariant Word Embeddings.
M. Gardner, K. Huang, E. Papalexakis, X. Fu, P. Talukdar, C. Faloutsos, N. Sidiropoulos,
T. Mitchell. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015
A Compositional and Interpretable
A. Fyshe, L. Wehbe, P. Talukdar, B. Murphy, T. Mitchell In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2015).
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner,
B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios,
A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves,
Proceedings of the Conference on Artificial Intelligence (AAAI), January 2015.
Weakly Supervised Training of Semantic Parsers.
J. Krishnamurthy and T.M. Mitchell. In Proceedings of the 2012 Conference on Empirical Methods in
Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2012.
"Predicting Dire Outcomes of Patients with Community
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.
"Predicting Caesarean Section with Decision Trees," C.
M.J. Krohn, L. Meyn, T.M. Mitchell, R.B. Rao, and I. Schmeuking, Annual
Meeting of the Society of Fetal and Maternal Medicine,
The Role of Unlabeled Data in Supervised Learning," T.
of the Sixth International Colloquium on
Cognitive Science, San Sebastian, Spain, 1999 (invited
subsequently published in Language, Knowledge, and
J.M. Larrazabal and L. A. Perez Miranda (eds.), Kluwer Academic
"An Evaluation of Machine-Learning Methods for Predicting
Mortality," G. Cooper, C. Aliferis, R. Ambrosino, J. Aronic, B.
R. Caruana, M. Fine, C. Glymour, G. Gordon, B. Hanusa, J. Janosky, C.
T. Mitchell, R. Richardson, and P. Spirtes, Artificial
"Lifelong Robot Learning," S. Thrun and T.M. Mitchell, in Robotics
Autonomous Systems, 15, pp. 24-46, 1995.
"WebWatcher: A Learning Apprentice for the World Wide
Freitag, T. Joachims, and T. Mitchell, in 1995 AAAI Spring Symposium on
Information Gathering from Heterogeneous, Distributed Environments,
"Explanation-Based Learning: A Comparison of Symbolic and
Approaches", T.M. Mitchell and S.B. Thrun, Tenth
on Machine Learning, Amherst, MA, June 27-29, 1993.
"Office Automation Systems that are Programmed by their
and T.M. Mitchell. 23rd Annual Conference of the German
Computer Science (Gesellschaft fur Informatik, GI), Dresden,
"The Engineering Design Research Center of Carnegie Mellon
Demes, S.J. Fenves, I.E. Grossmann, C.T. Hendrickson, T.M. Mitchell,
Prinz, D.P. Siewiorek, E. Subramanian, S. Talukdar, A. Westerberg, Proceedings
of the IEEE, Special Issue on Engineering
Invited paper, Vol. 81, No. 1, pp. 10-24, January, 1993.
"Integrating Inductive Neural Network Learning and
Learning", Thrun, S., and Mitchell, T.M., Proceedings of the
International Joint Conference on Artificial Intelligence,
"A Personal Learning Apprentice", Dent, L., Boticario, J.,
J., Mitchell, T., and Zabowski, D., 1992 National Conference
AI, July, 1992.
"Embedding Learning in a General Frame-Based
and T.M. Mitchell, International Journal of Pattern
Artificial Intelligence, Vol. 4, No. 2, pp. 125-145, June
"An Autonomous Rover for Exploring Mars", J. Bares, M.
T. Kanade, E.
Krotkov, T. Mitchell, R. Simmons, W. Whittaker, IEEE Computer,
Issue on Autonomous Intelligent Machines, June, 1989 pp18-26.
A Framework for Self-Improving Systems", Tom M.
Prasad Chalasani, John Cheng, Oren Etzioni, Marc N. Ringuette, Jeffrey
Schlimmer, in "Architectures for Intelligence", K. Vanlehn (ed.),
Erlbaum Associates, New Jersey, 1991, pp. 323-356.
"Progress Toward a Knowledge-Based Aid for Mechanical
Langrana and T.M. Mitchell, ASME Symposium on Integrated Intelligent
Manufacturing: Analysis and Synthesis, December 1986.
"Explanation-Based Generalization: A Unifying View", T.
Keller, and S. Kedar-Cabelli, Machine Learning,
1, issue 1, January, 1986.
"LEAP: A Learning Apprentice for VLSI Design", T.
Mahadevan, and L. Steinberg, Ninth International Joint
Conference on Artificial Intelligence, August 1985. Also a
in Machine Learning: An Artificial Intelligence Approach,
Kodratoff and Michalski (eds.), Morgan Kaufmann Press, 1990.
"A Knowledge-Based Approach to Design", T. Mitchell, L.
and J. Shulman, IEEE Transactions on Pattern Analysis and
Intelligence, September, 1985.
"A Knowledge-Based Approach to VLSI CAD", L. Steinberg and
Mitchell, in Proceedings of the 21st Design Automation
IEEE and ACM, Albequerque, New Mexico, June 1984 (received Best Paper
"Learning and Problem-Solving", T. Mitchell, in Proceedings
Eighth International Joint Conference on Artificial Intelligence,
Karlsruhe, Germany, August 1983 (Computers and Thought Award Paper).
"Learning by Experimentation: Acquiring and Modifying
Heuristics", T. Mitchell, P. Utgoff, and R. Banerji, in Machine
Learning, Michalski, Carbonell, and Mitchell (eds.), Tioga
pp.163-190. Also Rutgers Computer Science Department Technical Report
"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
1981, pp. 517-542.
"Learning Problem-Solving Heuristics by Practice", T.M.
Mitchell, P. Utgoff,
B. Nudel, R. Banerji, Proceedings of the 7th International
Conference on Artificial Intelligence, Aug., 1981, pp.
"The Need for Biases in Learning Generalizations", T.M.
Computer Science Department Technical Report CBM-TR-117, May, 1980.
in Readings in Machine Learning, J. Shavlik and T.
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.
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
T.M. Mitchell, Proceedings of the 5th International Joint
Conference on Artificial Intelligence, Cambridge MA, August