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Tom M. Mitchell: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tom M. Mitchell
    Generalization as Search. [Citation Graph (10, 0)][DBLP]
    Artif. Intell., 1982, v:18, n:2, pp:203-226 [Journal]
  2. Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli
    Explanation-Based Generalization: A Unifying View. [Citation Graph (5, 0)][DBLP]
    Machine Learning, 1986, v:1, n:1, pp:47-80 [Journal]
  3. Alexander Borgida, Tom M. Mitchell, Keith E. Williamson
    Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases. [Citation Graph (3, 0)][DBLP]
    On Knowledge Base Management Systems (Islamorada), 1985, pp:259-286 [Conf]
  4. Thorsten Joachims, Dayne Freitag, Tom M. Mitchell
    Web Watcher: A Tour Guide for the World Wide Web. [Citation Graph (3, 0)][DBLP]
    IJCAI (1), 1997, pp:770-777 [Conf]
  5. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
    Learning to Extract Symbolic Knowledge from the World Wide Web. [Citation Graph (1, 0)][DBLP]
    AAAI/IAAI, 1998, pp:509-516 [Conf]
  6. Tom M. Mitchell
    Version Spaces: A Candidate Elimination Approach to Rule Learning. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1977, pp:305-310 [Conf]
  7. Tom M. Mitchell
    Learning and Problem Solving. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1983, pp:1139-1151 [Conf]
  8. Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji
    Learning Problem-Solving Heuristics Through Practice. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1981, pp:127-134 [Conf]
  9. Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan
    A Model for Learning Systems. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1977, pp:338-343 [Conf]
  10. Tom M. Mitchell
    Does Machine Learning Really Work? [Citation Graph (1, 0)][DBLP]
    AI Magazine, 1997, v:18, n:3, pp:11-20 [Journal]
  11. Derek H. Sleeman, Pat Langley, Tom M. Mitchell
    Learning from Solution Paths: An Approach to the Credit Assignment Problem. [Citation Graph (1, 0)][DBLP]
    AI Magazine, 1982, v:3, n:2, pp:48-52 [Journal]
  12. Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski
    Experience with a Learning Personal Assistant. [Citation Graph (1, 0)][DBLP]
    Commun. ACM, 1994, v:37, n:7, pp:80-91 [Journal]
  13. C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski
    A Personal Learning Apprentice. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:96-103 [Conf]
  14. Tom M. Mitchell
    Becoming Increasingly Reactive. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:1051-1058 [Conf]
  15. Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey Shulman, Timothy Weinrich
    An Intelligent Aid for Circuit Redesign. [Citation Graph (0, 0)][DBLP]
    AAAI, 1983, pp:274-278 [Conf]
  16. Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer
    Extracting Knowledge about Users' Activities from Raw Workstation Contents. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  17. Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell
    Learning to Classify Text from Labeled and Unlabeled Documents. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:792-799 [Conf]
  18. Bart Selman, Rodney A. Brooks, Thomas Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson
    Challenge Problems for Artificial Intelligence (Panel Statements). [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1340-1345 [Conf]
  19. Paul E. Utgoff, Tom M. Mitchell
    Acquisition of Appropriate Bias for Inductive Concept Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 1982, pp:414-417 [Conf]
  20. Tom M. Mitchell
    Artificial Intelligence and Human Brain Imaging. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:7- [Conf]
  21. Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen
    Inferring Ongoing Activities of Workstation Users by Clustering Email. [Citation Graph (0, 0)][DBLP]
    CEAS, 2004, pp:- [Conf]
  22. Avrim Blum, Tom M. Mitchell
    Combining Labeled and Unlabeled Sata with Co-Training. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:92-100 [Conf]
  23. Tom M. Mitchell
    Learning in Knowledge-Base Management Systems. [Citation Graph (0, 0)][DBLP]
    On Knowledge Base Management Systems (Islamorada), 1985, pp:403-406 [Conf]
  24. Tom M. Mitchell
    Machine Learning in the World Wide Web. [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:32- [Conf]
  25. Tom M. Mitchell
    Machine Learning Meets Natural Language. [Citation Graph (0, 0)][DBLP]
    EPIA, 1997, pp:391- [Conf]
  26. Siegfried Bocionek, Tom M. Mitchell
    Office Automation Systems that are "Programmed" by their Users. [Citation Graph (0, 0)][DBLP]
    GI Jahrestagung, 1993, pp:214-219 [Conf]
  27. Tom M. Mitchell
    Intelligent Workstation Agents and Unstructured Workstation Data. [Citation Graph (0, 0)][DBLP]
    IAT, 2004, pp:6- [Conf]
  28. Jim Blythe, Tom M. Mitchell
    On Becoming Reactive. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:255-259 [Conf]
  29. Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rustandi
    Hidden process models. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:433-440 [Conf]
  30. Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell
    Experiments in Robot Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:141-145 [Conf]
  31. Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng
    Improving Text Classification by Shrinkage in a Hierarchy of Classes. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:359-367 [Conf]
  32. Tom M. Mitchell, Sebastian Thrun
    Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:197-204 [Conf]
  33. Seán Slattery, Tom M. Mitchell
    Discovering Test Set Regularities in Relational Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:895-902 [Conf]
  34. Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg
    LEAP: A Learning Apprentice for VLSl Design. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:573-580 [Conf]
  35. Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly
    Representations for Reasoning about Digital Circuits. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:343-344 [Conf]
  36. Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan
    Representation and Use of Explicit Justifications for Knowledge Base Refinements. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:673-680 [Conf]
  37. Sebastian Thrun, Tom M. Mitchell
    Integrating Inductive Neural Network Learning and Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:930-936 [Conf]
  38. Sebastian Thrun, Tom M. Mitchell
    Learning One More Thing. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1217-1225 [Conf]
  39. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:155-160 [Conf]
  40. Tom M. Mitchell
    Personal Learning Apprentices. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1991, pp:35-37 [Conf]
  41. Tom M. Mitchell
    Extracting targeted data from the web. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:3- [Conf]
  42. Rich Caruana, Shumeet Baluja, Tom M. Mitchell
    Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:959-965 [Conf]
  43. Tom M. Mitchell, Sebastian Thrun
    Explanation-Based Neural Network Learning for Robot Control. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:287-294 [Conf]
  44. Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
    Detecting Significant Multidimensional Spatial Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  45. Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell
    Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  46. Tom M. Mitchell
    Machine Learning for Analyzing Human Brain Function. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:1- [Conf]
  47. Francisco Pereira, Marcel Just, Tom M. Mitchell
    Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:374-385 [Conf]
  48. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  49. Yifen Huang, Tom M. Mitchell
    Text clustering with extended user feedback. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:413-420 [Conf]
  50. Tom M. Mitchell
    Intelligent Workstation Agents and Unstructured Workstation Data. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2004, pp:6- [Conf]
  51. Qiong Chen, Tom M. Mitchell
    Learning Topic-Based Mixture Models for Factored Classification. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:25-31 [Conf]
  52. Qiong Chen, Tom M. Mitchell
    Learning Topic-Based Mixture Models for Factored Classification. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:1114-1120 [Conf]
  53. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
    Learning to construct knowledge bases from the World Wide Web. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2000, v:118, n:1-2, pp:69-113 [Journal]
  54. Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli
    An Apprentice-Based Approach to Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1993, v:64, n:1, pp:1-52 [Journal]
  55. Tom M. Mitchell
    Author's response to reviews of Machine Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2001, v:131, n:1-2, pp:223-225 [Journal]
  56. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
    Machine Learning: A Historical and Methodological Analysis. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1983, v:4, n:3, pp:69-79 [Journal]
  57. Peter E. Hart, Nils J. Nilsson, Ray Perrault, Tom M. Mitchell, Casimir A. Kulikowski
    In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2003, v:24, n:1, pp:6-12 [Journal]
  58. 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
    AAAI 2000 Workshop Reports. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:1, pp:127-136 [Journal]
  59. Tom M. Mitchell
    Artificial Intelligence Research at Rutgers. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1982, v:3, n:2, pp:36-43 [Journal]
  60. Tom M. Mitchell, Hector J. Levesque
    The 2005 AAAI Classic Paper Awards. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:4, pp:98-99 [Journal]
  61. Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry Wasserman
    Automated Learning and Discovery Stat-Of-The-Art and Research Topics in a Rapidly Growing Field. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1999, v:20, n:3, pp:78-82 [Journal]
  62. Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes
    An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
  63. Tom M. Mitchell
    Machine Learning and Data Mining. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1999, v:42, n:11, pp:30-36 [Journal]
  64. John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker
    Ambler: An Autonomous Rover for Planetary Exploration. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1989, v:22, n:6, pp:18-26 [Journal]
  65. David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton
    AI Matures and Flourishes in North America. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2003, v:18, n:4, pp:87-0 [Journal]
  66. 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
    Predicting dire outcomes of patients with community acquired pneumonia. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:5, pp:347-366 [Journal]
  67. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
    Bayesian Network Learning with Parameter Constraints. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1357-1383 [Journal]
  68. Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell
    Text Classification from Labeled and Unlabeled Documents using EM. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:39, n:2/3, pp:103-134 [Journal]
  69. Tom M. Mitchell, Rebecca Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Just, Sharlene Newman
    Learning to Decode Cognitive States from Brain Images. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:57, n:1-2, pp:145-175 [Journal]
  70. Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell
    Learning reliable manipulation strategies without initial physical models. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1991, v:8, n:1-2, pp:7-18 [Journal]
  71. Sebastian Thrun, Tom M. Mitchell
    Lifelong robot learning. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1995, v:15, n:1-2, pp:25-46 [Journal]
  72. Tom M. Mitchell
    Plan-Then-Compile Architectures. [Citation Graph (0, 0)][DBLP]
    SIGART Bulletin, 1991, v:2, n:4, pp:136-139 [Journal]
  73. Mark Palatucci, Tom M. Mitchell
    Classification in Very High Dimensional Problems with Handfuls of Examples. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:212-223 [Conf]
  74. Tom M. Mitchell
    Learning, Information Extraction and the Web. [Citation Graph (0, 0)][DBLP]
    ECML/PKDD, 2007, pp:1- [Conf]

  75. Toward an Architecture for Never-Ending Language Learning. [Citation Graph (, )][DBLP]


  76. Computational Models of Neural Representations in the Human Brain. [Citation Graph (, )][DBLP]


  77. Computational Models of Neural Representations in the Human Brain. [Citation Graph (, )][DBLP]


  78. Learning to Tag from Open Vocabulary Labels. [Citation Graph (, )][DBLP]


  79. Populating the Semantic Web by Macro-reading Internet Text. [Citation Graph (, )][DBLP]


  80. Coupled semi-supervised learning for information extraction. [Citation Graph (, )][DBLP]


  81. Feature selection for grasp recognition from optical markers. [Citation Graph (, )][DBLP]


  82. Learning to Classify Email into ``Speech Acts''. [Citation Graph (, )][DBLP]


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