Tom Mitchell – 2009 Lecture
“Brains, Meaning and Text Statistics”

Tom Mitchell, Ph.D. is Professor of Computer Science at Carnegie Mellon University, and Director of the Center for Automated Learning and Discovery.

Mitchell’s current work focuses on research topics including “how does the human brain represent word meanings?” and “can computes learn to extract information from the web?”

He earned his B.S. degree from MIT and his Ph.D. degree from Stanford University (1979). He received the IJCAI Computers and Thought award in recognition of his research in machine learning, and has been a Fellow of the American Association for Artificial Intelligence since 1990. He a member of the National Research Council Computer Science and Telecommunications Board, co-founder of the journal Machine Learning, and co-founder of the annual International Conference on Machine Learning, now in its 14th year.

Mitchell completed a textbook entitled “Machine Learning,” McGraw Hill, 1997, which provides an in depth introduction to the major algorithms used in data mining applications.