Tom Michael Mitchell

Carnegie Mellon University, Pittsburgh, PA 
machine learning
"Tom Michael Mitchell"

Mean distance: 17.55 (cluster 15)


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


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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
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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
Schwartz D, Mitchell T. (2019) Understanding language-elicited Arxiv: Computation and Language
Azaria A, Srivastava S, Krishnamurthy J, et al. (2019) An agent for learning new natural language commands Autonomous Agents and Multi-Agent Systems. 34
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
Krishnamurthy J, Mitchell TM. (2015) Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary Transactions of the Association For Computational Linguistics. 3: 257-270
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
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