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Mitchell, Tom

[Picture of Tom Mitchell] E. Fredkin University Professor and Chair, Machine Learning
Carnegie Mellon University

Phone: (412) 268-2611

Individual Website:

Ph.D., Stanford University


Research Interests


Dr. Mitchell works on new learning algorithms, such as methods for learning from labeled and unlabeled data. Much of his research is driven by applications of machine learning such as understanding natural language text, and analyzing fMRI brain image data to model human cognition.



Recent Publications

  • Mitchell TM: Machine Learning. McGraw Hill, 1997.
  • Franklin J, Mitchell T, Thrun S(eds): Recent Advances in Robot Learning. Kluwer Academic Publishers, 1996.
  • Steier D, Mitchell T (eds): Mind Matters: A Tribute to Allen Newell. Erlbaum, 1996.
  • Carbonell J, Mitchell T: Machine Learning: An Artificial Intelligence Approach. Volume 2. Michalski, Carbonell, and Mitchell (eds): Morgan-Kaufman, 1986.
  • Michalaski, Carbonell, Mitchell T (eds): Machine Learning: An Artificial Intelligence Approach. Tioga Press, 1983.