Tom M. Mitchell

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2011
88Discovering Relations between Noun Categories. Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell. EMNLP 2011, 1447-1455. Web SearchBibTeXDownload
87Random Walk Inference and Learning in A Large Scale Knowledge Base. Ni Lao, Tom M. Mitchell, William W. Cohen. EMNLP 2011, 529-539. Web SearchBibTeXDownload
86Neural Representations of Word Meanings. Tom M. Mitchell. INTERSPEECH 2011. Web SearchBibTeX
2010
85Toward an Architecture for Never-Ending Language Learning. Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell. AAAI 2010. Web SearchBibTeXDownload
84Learning to Tag from Open Vocabulary Labels. Edith Law, Burr Settles, Tom M. Mitchell. ECML/PKDD (2) 2010, 211-226. Web SearchBibTeXDownload
83Coupled semi-supervised learning for information extraction. Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell. WSDM 2010, 101-110. Web SearchBibTeXDownload
2009
82Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. Kai-min K. Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just. ACL/AFNLP 2009, 638-646. Web SearchBibTeXDownload
81Populating the Semantic Web by Macro-reading Internet Text. Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang. International Semantic Web Conference 2009, 998-1002. Web SearchBibTeXDownload
80Zero-shot Learning with Semantic Output Codes. Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell. NIPS 2009, 1410-1418. Web SearchBibTeXDownload
2008
79Computational Models of Neural Representations in the Human Brain. Tom M. Mitchell. ALT 2008, 5-6. Web SearchBibTeXDownload
2007
78In Honor of Marvin Minsky's Contributions on his 80th Birthday. Danny Hillis, John McCarthy, Tom M. Mitchell, Erik T. Mueller, Doug Riecken, Aaron Sloman, Patrick Henry Winston. AI Magazine (28): 103-110 (2007). Web SearchBibTeXDownload
77Learning, Information Extraction and the Web. Tom M. Mitchell. ECML/PKDD 2007, 1. Web SearchBibTeXDownload
76A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. IJCAI 2007, 155-160. Web SearchBibTeXDownload
75Feature selection for grasp recognition from optical markers. Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing. IROS 2007, 2944-2950. Web SearchBibTeXDownload
74Classification in Very High Dimensional Problems with Handfuls of Examples. Mark Palatucci, Tom M. Mitchell. PKDD 2007, 212-223. Web SearchBibTeXDownload
2006
73Extracting Knowledge about Users' Activities from Raw Workstation Contents. Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer. AAAI 2006. Web SearchBibTeX
72Hidden process models. Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rustandi. ICML 2006, 433-440. Web SearchBibTeXDownload
71Bayesian Network Learning with Parameter Constraints. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. Journal of Machine Learning Research (7): 1357-1383 (2006). Web SearchBibTeXDownload
70Text clustering with extended user feedback. Yifen Huang, Tom M. Mitchell. SIGIR 2006, 413-420. Web SearchBibTeXDownload
2005
69The 2005 AAAI Classic Paper Awards. Tom M. Mitchell, Hector J. Levesque. AI Magazine (26): 98-99 (2005). Web SearchBibTeXDownload
68Learning Topic-Based Mixture Models for Factored Classification. Qiong Chen, Tom M. Mitchell. CIMCA/IAWTIC 2005, 25-31. Web SearchBibTeX
67Predicting dire outcomes of patients with community acquired pneumonia. Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell. Journal of Biomedical Informatics (38): 347-366 (2005). Web SearchBibTeXDownload
66Machine Learning for Analyzing Human Brain Function. Tom M. Mitchell. PAKDD 2005, 1. Web SearchBibTeXDownload
65Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao. SDM 2005. Web SearchBibTeX
2004
64Inferring Ongoing Activities of Workstation Users by Clustering Email. Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen. CEAS 2004. Web SearchBibTeXDownload
63Learning to Classify Email into ``Speech Acts''. William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell. EMNLP 2004, 309-316. Web SearchBibTeXDownload
62Learning to Decode Cognitive States from Brain Images. Tom M. Mitchell, Rebecca Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Just, Sharlene Newman. Machine Learning (57): 145-175 (2004). Web SearchBibTeXDownload
61Detecting Significant Multidimensional Spatial Clusters. Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell. NIPS 2004. Web SearchBibTeXDownload
60Intelligent Workstation Agents and Unstructured Workstation Data. Tom M. Mitchell. Web Intelligence 2004, 6. Web SearchBibTeXDownload
2003
59In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel. Peter E. Hart, Nils J. Nilsson, Ray Perrault, Tom M. Mitchell, Casimir A. Kulikowski. AI Magazine (24): 6-12 (2003). Web SearchBibTeXDownload
58Artificial Intelligence and Human Brain Imaging. Tom M. Mitchell. Canadian Conference on AI 2003, 7. Web SearchBibTeXDownload
57AI Matures and Flourishes in North America. David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton. IEEE Intelligent Systems (18): 87 (2003). Web SearchBibTeXDownload
56Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell. NIPS 2003. Web SearchBibTeXDownload
2001
55AAAI 2000 Workshop Reports. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari. AI Magazine (22): 127-136 (2001). Web SearchBibTeXDownload
54Author's response to reviews of Machine Learning. Tom M. Mitchell. Artif. Intell. (131): 223-225 (2001). Web SearchBibTeXDownload
53Extracting targeted data from the web. Tom M. Mitchell. KDD 2001, 3. Web SearchBibTeXDownload
52Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. Francisco Pereira, Marcel Adam Just, Tom M. Mitchell. PKDD 2001, 374-385. Web SearchBibTeXDownload
2000
51Learning to construct knowledge bases from the World Wide Web. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery. Artif. Intell. (118): 69-113 (2000). Web SearchBibTeXDownload
50Discovering Test Set Regularities in Relational Domains. Seán Slattery, Tom M. Mitchell. ICML 2000, 895-902. Web SearchBibTeX
49Text Classification from Labeled and Unlabeled Documents using EM. Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell. Machine Learning (39): 103-134 (2000). Web SearchBibTeXDownload
1999
48Automated Learning and Discovery Stat-Of-The-Art and Research Topics in a Rapidly Growing Field. Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman. AI Magazine (20): 78-82 (1999). Web SearchBibTeX
47Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field. Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman. AI Magazine (20): 78-82 (1999). Web SearchBibTeXDownload
46Machine Learning and Data Mining. Tom M. Mitchell, Attilio Giordana, Lorenza Saitta. Commun. ACM (42): 30-36 (1999). Web SearchBibTeXDownload
1998
45Learning to Extract Symbolic Knowledge from the World Wide Web. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery. AAAI/IAAI 1998, 509-516. Web SearchBibTeX
44Learning to Classify Text from Labeled and Unlabeled Documents. Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell. AAAI/IAAI 1998, 792-799. Web SearchBibTeX
43Combining Labeled and Unlabeled Sata with Co-Training. Avrim Blum, Tom M. Mitchell. COLT 1998, 92-100. Web SearchBibTeXDownload
42Improving Text Classification by Shrinkage in a Hierarchy of Classes. Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng. ICML 1998, 359-367. Web SearchBibTeX
1997
41Does Machine Learning Really Work?. Tom M. Mitchell. AI Magazine (18): 11-20 (1997). Web SearchBibTeXDownload
40An evaluation of machine-learning methods for predicting pneumonia mortality. Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes. Artificial Intelligence in Medicine (9): 107-138 (1997). Web SearchBibTeXDownload
39Machine Learning Meets Natural Language. Tom M. Mitchell. EPIA 1997, 391. Web SearchBibTeXDownload
38Web Watcher: A Tour Guide for the World Wide Web. Thorsten Joachims, Dayne Freitag, Tom M. Mitchell. IJCAI (1) 1997, 770-777. Web SearchBibTeX
1996
37Challenge Problems for Artificial Intelligence (Panel Statements). Bart Selman, Rodney A. Brooks, Thomas Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson. AAAI/IAAI, Vol. 2 1996, 1340-1345. Web SearchBibTeX
1995
36Machine Learning in the World Wide Web. Tom M. Mitchell. ECML 1995, 32. Web SearchBibTeXDownload
35Learning One More Thing. Sebastian Thrun, Tom M. Mitchell. IJCAI 1995, 1217-1225. Web SearchBibTeX
34Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. Rich Caruana, Shumeet Baluja, Tom M. Mitchell. NIPS 1995, 959-965. Web SearchBibTeXDownload
33Lifelong robot learning. Sebastian Thrun, Tom M. Mitchell. Robotics and Autonomous Systems (15): 25-46 (1995). Web SearchBibTeXDownload
1994
32Experience with a Learning Personal Assistant. Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski. Commun. ACM (37): 80-91 (1994). Web SearchBibTeXDownload
1993
31An Apprentice-Based Approach to Knowledge Acquisition. Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli. Artif. Intell. (64): 1-52 (1993). Web SearchBibTeXDownload
30Office Automation Systems that are "Programmed" by their Users. Siegfried Bocionek, Tom M. Mitchell. GI Jahrestagung 1993, 214-219. Web SearchBibTeX
29Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. Tom M. Mitchell, Sebastian Thrun. ICML 1993, 197-204. Web SearchBibTeX
28Integrating Inductive Neural Network Learning and Explanation-Based Learning. Sebastian Thrun, Tom M. Mitchell. IJCAI 1993, 930-936. Web SearchBibTeX
1992
27A Personal Learning Apprentice. C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski. AAAI 1992, 96-103. Web SearchBibTeX
26Explanation-Based Neural Network Learning for Robot Control. Tom M. Mitchell, Sebastian Thrun. NIPS 1992, 287-294. Web SearchBibTeXDownload
1991
25Personal Learning Apprentices. Tom M. Mitchell. ISMIS 1991, 35-37. Web SearchBibTeXDownload
24Justification-Based Refinement of Expert Knowledge. Jeffrey C. Schlimmer, Tom M. Mitchell, John P. McDermott. Knowledge Discovery in Databases 1991, 397-410. Web SearchBibTeX
23Learning reliable manipulation strategies without initial physical models. Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell. Robotics and Autonomous Systems (8): 7-18 (1991). Web SearchBibTeXDownload
22Plan-Then-Compile Architectures. Tom M. Mitchell. SIGART Bulletin (2): 136-139 (1991). Web SearchBibTeXDownload
1990
21Becoming Increasingly Reactive. Tom M. Mitchell. AAAI 1990, 1051-1058. Web SearchBibTeX
1989
20Ambler: An Autonomous Rover for Planetary Exploration. John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker. IEEE Computer (22): 18-26 (1989). Web SearchBibTeXDownload
19On Becoming Reactive. Jim Blythe, Tom M. Mitchell. ML 1989, 255-259. Web SearchBibTeX
18Experiments in Robot Learning. Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell. ML 1989, 141-145. Web SearchBibTeX
1986
17Explanation-Based Generalization: A Unifying View. Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli. Machine Learning (1): 47-80 (1986). Web SearchBibTeXDownload
1985
16A Knowledge-Based Approach to Design. Tom M. Mitchell, Louis I. Steinberg, Jeffrey S. Shulman. IEEE Trans. Pattern Anal. Mach. Intell. (7): 502-510 (1985). Web SearchBibTeXDownload
15LEAP: A Learning Apprentice for VLSl Design. Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg. IJCAI 1985, 573-580. Web SearchBibTeX
14Representation and Use of Explicit Justifications for Knowledge Base Refinements. Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan. IJCAI 1985, 673-680. Web SearchBibTeX
13Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases. Alexander Borgida, Tom M. Mitchell, Keith E. Williamson. On Knowledge Base Management Systems (Islamorada) 1985, 259-286. Web SearchBibTeX
12Learning in Knowledge-Base Management Systems. Tom M. Mitchell. On Knowledge Base Management Systems (Islamorada) 1985, 403-406. Web SearchBibTeX
1983
11An Intelligent Aid for Circuit Redesign. Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich. AAAI 1983, 274-278. Web SearchBibTeX
10Machine Learning: A Historical and Methodological Analysis. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell. AI Magazine (4): 69-79 (1983). Web SearchBibTeXDownload
9Learning and Problem Solving. Tom M. Mitchell. IJCAI 1983, 1139-1151. Web SearchBibTeX
1982
8Acquisition of Appropriate Bias for Inductive Concept Learning. Paul E. Utgoff, Tom M. Mitchell. AAAI 1982, 414-417. Web SearchBibTeXDownload
7Learning from Solution Paths: An Approach to the Credit Assignment Problem. Derek H. Sleeman, Pat Langley, Tom M. Mitchell. AI Magazine (3): 48-52 (1982). Web SearchBibTeXDownload
6Artificial Intelligence Research at Rutgers. Tom M. Mitchell. AI Magazine (3): 36-43 (1982). Web SearchBibTeXDownload
5Generalization as Search. Tom M. Mitchell. Artif. Intell. (18): 203-226 (1982). Web SearchBibTeXDownload
1981
4Representations for Reasoning about Digital Circuits. Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly. IJCAI 1981, 343-344. Web SearchBibTeX
3Learning Problem-Solving Heuristics Through Practice. Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji. IJCAI 1981, 127-134. Web SearchBibTeX
1977
2A Model for Learning Systems. Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan. IJCAI 1977, 338-343. Web SearchBibTeX
1Version Spaces: A Candidate Elimination Approach to Rule Learning. Tom M. Mitchell. IJCAI 1977, 305-310. Web SearchBibTeX
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References
1. ^ CS Colloquium - Retrieved 2012-01-31 - details
2. ^ Dartmouth Computer Science: News - Retrieved 2010-09-21 - details
3. ^ Past Distinguished Lecture Series - Retrieved 2011-04-16 - details
4. ^ Computer and Information Sciences | Temple University - Retrieved 2012-02-07 - details
5. ^ Untitled Document - Retrieved 2011-02-11 - details
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