Tom M. Mitchell (mitchell-tm)
Beiträge zu Philosophie.ch
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Bibliography
Craven, Mark, DiPasquo, Dan, Freitag, Dayne, McCallum, Andrew, Mitchell, Tom M., Nigan, Kamal and Slattery, Séan. 2000. “Learning to Construct Knowledge Bases from the World Wide Web.” Artificial Intelligence 118(1–2): 69–113.
Mahadevan, Sridhar, Mitchell, Tom M., Mostow, Jack, Steinberg, Lou and Tadepalli, Prasad V. 1993. “An Apprentice-Based Approach to Knowledge Acquisition.” Artificial Intelligence 64(1): 1–52.
Michalski, Ryszard S., Carbonell, Jaime G. and Mitchell, Tom M., eds. 1983. Machine Learning: An Artificial Intelligence Approach. Palo Alto, California: Tioga Publishing Co.
Mitchell, Tom M. 1982. “Generalization as Search.” Artificial Intelligence 18(2): 203–226.
Mitchell, Tom M. 1986. “Version Space: An Approach to Concept Learning.” PhD dissertation, Stanford, California: Computer Science Department, Stanford University.
Mitchell, Tom M. 1997b. Machine Learning. New York: McGraw-Hill, Inc.
Mitchell, Tom M. 2001. “Author’s Response to Reviews of Machine Learning.” Artificial Intelligence 131(1–2): 223–225.
Mitchell, Tom M. 2004. “The Role of Unlabeled Data in Supervised Learning.” in Language, Knowledge, and Representation. Proceedings of the Sixth International Colloquium on Cognitive Science (ICCS-99), edited by Jesús M. Larrazabal and Luis A. Pérez Miranda, pp. 103–112. Philosophical Studies Series n. 99. Dordrecht: Springer.
Mitchell, Tom M., Carbonell, Jaime G. and Michalski, Ryszard S., eds. 1986. Machine Learning: A Guide to Current Research. Boston, Massachusetts: Kluwer Academic Publishers.
Mitchell, Tom M. and Smith, Reid G., eds. 1988. AAAI-88. Proceedings of the Seventh National Conference on Artificial Intelligence. Menlo Park, California: The AAAI Press.
Mitchell, Tom M. and Thrun, Sebastian B. 1996. “Learning Analytically and Inductively.” in Mind Matters: A Tribute to Allen Newell, edited by David M. Steier and Tom M. Mitchell, pp. 85–110. Mahwah, New Jersey: Lawrence Erlbaum Associates, Inc.