Tom Michael Mitchell
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
machine learningWebsite:
http://www.cs.cmu.edu/~tomGoogle:
"Tom Michael Mitchell"Bio:
http://www.dtic.mil/docs/citations/ADA074462
Mean distance: 17.55 (cluster 15)
Parents
Sign in to add mentor| Bruce Gardner Buchanan | grad student | 1978 | Stanford (Computer Science Tree) | |
| (Version Spaces: An Approach to Concept Learning.) | ||||
Children
Sign in to add trainee| 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) |
| Prasad Tadepalli | grad student | 1990 | Rutgers, New Brunswick (MathTree) |
| 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
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Toneva M, Mitchell TM, Wehbe L. (2022) Combining computational controls with natural text reveals aspects of meaning composition. Nature Computational Science. 2: 745-757 |
| 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 |