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Note: Links lead to the DBLP on the Web. Tom M. Mitchell 42 Tom M. Mitchell: Extracting targeted data from the web. KDD 2001 : 3 41 Francisco Pereira , Marcel Just , Tom M. Mitchell: Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. PKDD 2001 : 374-385 40 Tom M. Mitchell: Author's response to reviews of Machine Learning. Artificial Intelligence 131 (1-2): 223-225 (2001) 39 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. Artificial Intelligence 118 (1-2): 69-113 (2000) 38 Kamal Nigam , Andrew McCallum , Sebastian Thrun , Tom M. Mitchell: Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39 (2/3): 103-134 (2000) 37 Tom M. Mitchell: Machine Learning and Data Mining. CACM 42 (11): 30-36 (1999) 36 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. AAAI/IAAI 1998 : 509-516 35 Kamal Nigam , Andrew McCallum , Sebastian Thrun , Tom M. Mitchell: Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI 1998 : 792-799 34 Avrim Blum , Tom M. Mitchell: Combining Labeled and Unlabeled Sata with Co-Training. COLT 1998 : 92-100 33 Tom M. Mitchell: Machine Learning Meets Natural Language. EPIA 1997 : 391 32 Thorsten Joachims , Dayne Freitag , Tom M. Mitchell: Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997 : 770-777 31 Tom M. Mitchell: Does Machine Learning Really Work? AI Magazine 18 (3): 11-20 (1997) 30 Bart Selman , Rodney A. Brooks , Thomas Dean , Eric Horvitz , Tom M. Mitchell, Nils J. Nilsson : Challenge Problems for Artificial Intelligence (Panel Statements). AAAI/IAAI, Vol. 2 1996 : 1340-1345 29 Tom M. Mitchell: Machine Learning in the World Wide Web. ECML 1995 : 32 28 Sebastian Thrun , Tom M. Mitchell: Learning One More Thing. IJCAI 1995 : 1217-1225 27 Tom M. Mitchell, Rich Caruana , Dayne Freitag , John P. McDermott , David Zabowski : Experience with a Learning Personal Assistant. CACM 37 (7): 80-91 (1994) 26 Siegfried Bocionek , Tom M. Mitchell: Office Automation Systems that are "Programmed" by their Users. GI Jahrestagung 1993 : 214-219 25 Tom M. Mitchell, Sebastian Thrun : Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. ICML 1993 : 197-204 24 Sebastian Thrun , Tom M. Mitchell: Integrating Inductive Neural Network Learning and Explanation-Based Learning. IJCAI 1993 : 930-936 23 Sridhar Mahadevan , Tom M. Mitchell, Jack Mostow , Louis I. Steinberg , Prasad Tadepalli : An Apprentice-Based Approach to Knowledge Acquisition. Artificial Intelligence 64 (1): 1-52 (1993) 22 C. Lisa Dent , Jesus Boticario , John P. McDermott , Tom M. Mitchell, David Zabowski : A Personal Learning Apprentice. AAAI 1992 : 96-103 21 Tom M. Mitchell, Sebastian Thrun : Explanation-Based Neural Network Learning for Robot Control. NIPS 1992 : 287-294 20 Tom M. Mitchell: Personal Learning Apprentices. ISMIS 1991 : 35-37 19 Jeffrey C. Schlimmer , Tom M. Mitchell, John P. McDermott : Justification-Based Refinement of Expert Knowledge. Knowledge Discovery in Databases 1991 : 397-410 18 Tom M. Mitchell: Plan-Then-Compile Architectures. SIGART Bulletin 2 (4): 136-139 (1991) 17 Tom M. Mitchell: Becoming Increasingly Reactive. AAAI 1990 : 1051-1058 16 John Bares , Martial Hebert , Takeo Kanade , Eric Krotkov , Tom M. Mitchell, Reid G. Simmons , William Whittaker : Ambler: An Autonomous Rover for Planetary Exploration. IEEE Computer 22 (6): 18-26 (1989) 15 Tom M. Mitchell, Richard M. Keller , Smadar T. Kedar-Cabelli : Explanation-Based Generalization: A Unifying View. Machine Learning 1 (1): 47-80 (1986) 14 Tom M. Mitchell, Sridhar Mahadevan , Louis I. Steinberg : LEAP: A Learning Apprentice for VLSl Design. IJCAI 1985 : 573-580 13 Reid G. Smith , Howard A. Winston , Tom M. Mitchell, Bruce G. Buchanan : Representation and Use of Explicit Justifications for Knowledge Base Refinements. IJCAI 1985 : 673-680 12 Alexander Borgida , Tom M. Mitchell, Keith E. Williamson : Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases. On Knowledge Base Management Systems (Islamorada) 1985 : 259-286 11 Tom M. Mitchell: Learning in Knowledge-Base Management Systems. On Knowledge Base Management Systems (Islamorada) 1985 : 403-406 10 Tom M. Mitchell, Louis I. Steinberg , Smadar T. Kedar-Cabelli , Van E. Kelly , Jeffrey Shulman , Timothy Weinrich : An Intelligent Aid for Circuit Redesign. AAAI 1983 : 274-278 9 Tom M. Mitchell: Learning and Problem Solving. IJCAI 1983 : 1139-1151 8 Jaime G. Carbonell , Ryszard S. Michalski , Tom M. Mitchell: Machine Learning: A Historical and Methodological Analysis. AI Magazine 4 (3): 69-79 (1983) 7 Paul E. Utgoff , Tom M. Mitchell: Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI 1982 : 414-417 6 Tom M. Mitchell: Artificial Intelligence Research at Rutgers. AI Magazine 3 (2): 36-43 (1982) 5 Derek H. Sleeman , Pat Langley , Tom M. Mitchell: Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Magazine 3 (2): 48-52 (1982) 4 Tom M. Mitchell: Generalization as Search. Artificial Intelligence 18 (2): 203-226 (1982) 3 Tom M. Mitchell, Paul E. Utgoff , Bernard Nudel , Ranan B. Banerji : Learning Problem-Solving Heuristics Through Practice. IJCAI 1981 : 127-134 2 Tom M. Mitchell: Version Spaces: A Candidate Elimination Approach to Rule Learning. IJCAI 1977 : 305-310 1 R. G. Smith , Tom M. Mitchell, R. A. Chestek , Bruce G. Buchanan : A Model for Learning Systems. IJCAI 1977 : 338-343  DiSC'02 © 2003 Association for Computing Machinery |
