Tom Michael Mitchell

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
machine learning
Website:
http://www.cs.cmu.edu/~tom
Google:
"Tom Michael Mitchell"
Bio:

http://www.dtic.mil/docs/citations/ADA074462

Mean distance: 17.55 (cluster 15)
 

Parents

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Bruce Gardner Buchanan grad student 1978 Stanford (Computer Science Tree)
 (Version Spaces: An Approach to Concept Learning.)

Children

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Geoffrey J. Gordon grad student Carnegie Mellon (Robotree)
Paul E. Utgoff grad student (Computer Science Tree)
Leila Wehbe grad student
Oren Etzioni grad student 1990 Carnegie Mellon (LinguisTree)
Sebastian Thrun grad student 1995 (Computer Science Tree)
Kanal P. Nigam grad student 2001 Carnegie Mellon
Nicholas G. Roy grad student 2003 Carnegie Mellon
Radu S. Niculescu grad student 2005 Carnegie Mellon
Francisco Pereira grad student 2007 Carnegie Mellon
Rebecca A. Hutchinson grad student 2009 Carnegie Mellon
Andrew Carlson grad student 2010 Carnegie Mellon
Yifen Huang grad student 2010 Carnegie Mellon
Indrayana Rustandi grad student 2010 Carnegie Mellon
Mark M. Palatucci grad student 2011 Carnegie Mellon
Svetlana Shinkareva post-doc Carnegie Mellon
Oscar J Romero research scientist 2014-2019 Computer Science
BETA: Related publications

Publications

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Sachan M, Dubey A, Hovy EH, et al. (2020) Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks Computational Linguistics. 45: 627-665
Fyshe A, Sudre G, Wehbe L, et al. (2019) The lexical semantics of adjective-noun phrases in the human brain. Human Brain Mapping
Yang Y, Dickey MW, Fiez J, et al. (2017) Sensorimotor experience and verb-category mapping in human sensory, motor and parietal neurons. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 92: 304-319
Papalexakis EE, Faloutsos C, Mitchell TM, et al. (2016) Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications. Statistical Analysis and Data Mining. 9: 269-290
Jordan MI, Mitchell TM. (2015) Machine learning: Trends, perspectives, and prospects. Science (New York, N.Y.). 349: 255-60
Mitchell T, Cohen W, Hruschka E, et al. (2015) Never-Ending Learning Proceedings of the National Conference On Artificial Intelligence. 3: 2302-2310
Just MA, Cherkassky VL, Buchweitz A, et al. (2014) Identifying autism from neural representations of social interactions: neurocognitive markers of autism. Plos One. 9: e113879
Wehbe L, Murphy B, Talukdar P, et al. (2014) Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses. Plos One. 9: e112575
Kujala J, Sudre G, Vartiainen J, et al. (2014) Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing. Neuroimage. 92: 207-16
Sudre G, Pomerleau D, Palatucci M, et al. (2012) Tracking neural coding of perceptual and semantic features of concrete nouns. Neuroimage. 62: 451-63
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