| 2008 |
|---|
| 78 | EE | Tom M. Mitchell:
Computational Models of Neural Representations in the Human Brain.
ALT 2008: 5-6 |
| 77 | EE | Tom M. Mitchell:
Computational Models of Neural Representations in the Human Brain.
Discovery Science 2008: 26-27 |
| 2007 |
|---|
| 76 | EE | Tom M. Mitchell:
Learning, Information Extraction and the Web.
ECML/PKDD 2007: 1 |
| 75 | EE | Radu Stefan Niculescu,
Tom M. Mitchell,
R. Bharat Rao:
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.
IJCAI 2007: 155-160 |
| 74 | EE | Lillian Y. Chang,
Nancy S. Pollard,
Tom M. Mitchell,
Eric P. Xing:
Feature selection for grasp recognition from optical markers.
IROS 2007: 2944-2950 |
| 73 | EE | Mark Palatucci,
Tom M. Mitchell:
Classification in Very High Dimensional Problems with Handfuls of Examples.
PKDD 2007: 212-223 |
| 2006 |
|---|
| 72 | | Tom M. Mitchell,
Sophie H. Wang,
Yifen Huang,
Adam Cheyer:
Extracting Knowledge about Users' Activities from Raw Workstation Contents.
AAAI 2006 |
| 71 | EE | Rebecca Hutchinson,
Tom M. Mitchell,
Indrayana Rustandi:
Hidden process models.
ICML 2006: 433-440 |
| 70 | EE | Yifen Huang,
Tom M. Mitchell:
Text clustering with extended user feedback.
SIGIR 2006: 413-420 |
| 69 | EE | Radu Stefan Niculescu,
Tom M. Mitchell,
R. Bharat Rao:
Bayesian Network Learning with Parameter Constraints.
Journal of Machine Learning Research 7: 1357-1383 (2006) |
| 2005 |
|---|
| 68 | | Qiong Chen,
Tom M. Mitchell:
Learning Topic-Based Mixture Models for Factored Classification.
CIMCA/IAWTIC 2005: 1114-1120 |
| 67 | | Qiong Chen,
Tom M. Mitchell:
Learning Topic-Based Mixture Models for Factored Classification.
CIMCA/IAWTIC 2005: 25-31 |
| 66 | EE | Tom M. Mitchell:
Machine Learning for Analyzing Human Brain Function.
PAKDD 2005: 1 |
| 65 | | Radu Stefan Niculescu,
Tom M. Mitchell,
R. Bharat Rao:
Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models.
SDM 2005 |
| 64 | | Tom M. Mitchell,
Hector J. Levesque:
The 2005 AAAI Classic Paper Awards.
AI Magazine 26(4): 98-99 (2005) |
| 63 | EE | 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.
Journal of Biomedical Informatics 38(5): 347-366 (2005) |
| 2004 |
|---|
| 62 | EE | Yifen Huang,
Dinesh Govindaraju,
Tom M. Mitchell,
Vitor Rocha de Carvalho,
William W. Cohen:
Inferring Ongoing Activities of Workstation Users by Clustering Email.
CEAS 2004 |
| 61 | EE | Tom M. Mitchell:
Intelligent Workstation Agents and Unstructured Workstation Data.
IAT 2004: 6 |
| 60 | EE | Daniel B. Neill,
Andrew W. Moore,
Francisco Pereira,
Tom M. Mitchell:
Detecting Significant Multidimensional Spatial Clusters.
NIPS 2004 |
| 59 | EE | Tom M. Mitchell:
Intelligent Workstation Agents and Unstructured Workstation Data.
Web Intelligence 2004: 6 |
| 58 | EE | Tom M. Mitchell,
Rebecca Hutchinson,
Radu Stefan Niculescu,
Francisco Pereira,
Xuerui Wang,
Marcel Just,
Sharlene Newman:
Learning to Decode Cognitive States from Brain Images.
Machine Learning 57(1-2): 145-175 (2004) |
| 2003 |
|---|
| 57 | EE | Tom M. Mitchell:
Artificial Intelligence and Human Brain Imaging.
Canadian Conference on AI 2003: 7 |
| 56 | EE | Xuerui Wang,
Rebecca Hutchinson,
Tom M. Mitchell:
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects.
NIPS 2003 |
| 55 | | Peter E. Hart,
Nils J. Nilsson,
Ray Perrault,
Tom M. Mitchell,
Casimir A. Kulikowski:
In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel.
AI Magazine 24(1): 6-12 (2003) |
| 54 | EE | David Mike Hamilton,
Tom M. Mitchell,
Carol McKenna Hamilton:
AI Matures and Flourishes in North America.
IEEE Intelligent Systems 18(4): 87- (2003) |
| 2001 |
|---|
| 53 | EE | Tom M. Mitchell:
Extracting targeted data from the web.
KDD 2001: 3 |
| 52 | EE | Francisco Pereira,
Marcel Just,
Tom M. Mitchell:
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation.
PKDD 2001: 374-385 |
| 51 | | 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.
AI Magazine 22(1): 127-136 (2001) |
| 50 | EE | Tom M. Mitchell:
Author's response to reviews of Machine Learning.
Artif. Intell. 131(1-2): 223-225 (2001) |
| 2000 |
|---|
| 49 | | Seán Slattery,
Tom M. Mitchell:
Discovering Test Set Regularities in Relational Domains.
ICML 2000: 895-902 |
| 48 | EE | 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.
Artif. Intell. 118(1-2): 69-113 (2000) |
| 47 | | 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) |
| 1999 |
|---|
| 46 | | Sebastian Thrun,
Christos Faloutsos,
Tom M. Mitchell,
Larry A. Wasserman:
Automated Learning and Discovery Stat-Of-The-Art and Research Topics in a Rapidly Growing Field.
AI Magazine 20(3): 78-82 (1999) |
| 45 | EE | Tom M. Mitchell:
Machine Learning and Data Mining.
Commun. ACM 42(11): 30-36 (1999) |
| 1998 |
|---|
| 44 | | 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 |
| 43 | | Kamal Nigam,
Andrew McCallum,
Sebastian Thrun,
Tom M. Mitchell:
Learning to Classify Text from Labeled and Unlabeled Documents.
AAAI/IAAI 1998: 792-799 |
| 42 | EE | Avrim Blum,
Tom M. Mitchell:
Combining Labeled and Unlabeled Sata with Co-Training.
COLT 1998: 92-100 |
| 41 | | Andrew McCallum,
Ronald Rosenfeld,
Tom M. Mitchell,
Andrew Y. Ng:
Improving Text Classification by Shrinkage in a Hierarchy of Classes.
ICML 1998: 359-367 |
| 1997 |
|---|
| 40 | | Tom M. Mitchell:
Machine Learning Meets Natural Language.
EPIA 1997: 391 |
| 39 | | Thorsten Joachims,
Dayne Freitag,
Tom M. Mitchell:
Web Watcher: A Tour Guide for the World Wide Web.
IJCAI (1) 1997: 770-777 |
| 38 | | Tom M. Mitchell:
Does Machine Learning Really Work?
AI Magazine 18(3): 11-20 (1997) |
| 37 | | 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.
Artificial Intelligence in Medicine 9(2): 107-138 (1997) |
| 1996 |
|---|
| 36 | | 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 |
| 1995 |
|---|
| 35 | | Tom M. Mitchell:
Machine Learning in the World Wide Web.
ECML 1995: 32 |
| 34 | | Sebastian Thrun,
Tom M. Mitchell:
Learning One More Thing.
IJCAI 1995: 1217-1225 |
| 33 | EE | Rich Caruana,
Shumeet Baluja,
Tom M. Mitchell:
Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation.
NIPS 1995: 959-965 |
| 32 | EE | Sebastian Thrun,
Tom M. Mitchell:
Lifelong robot learning.
Robotics and Autonomous Systems 15(1-2): 25-46 (1995) |
| 1994 |
|---|
| 31 | | Tom M. Mitchell,
Rich Caruana,
Dayne Freitag,
John P. McDermott,
David Zabowski:
Experience with a Learning Personal Assistant.
Commun. ACM 37(7): 80-91 (1994) |
| 1993 |
|---|
| 30 | | Siegfried Bocionek,
Tom M. Mitchell:
Office Automation Systems that are "Programmed" by their Users.
GI Jahrestagung 1993: 214-219 |
| 29 | | Tom M. Mitchell,
Sebastian Thrun:
Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches.
ICML 1993: 197-204 |
| 28 | | Sebastian Thrun,
Tom M. Mitchell:
Integrating Inductive Neural Network Learning and Explanation-Based Learning.
IJCAI 1993: 930-936 |
| 27 | | Sridhar Mahadevan,
Tom M. Mitchell,
Jack Mostow,
Louis I. Steinberg,
Prasad Tadepalli:
An Apprentice-Based Approach to Knowledge Acquisition.
Artif. Intell. 64(1): 1-52 (1993) |
| 1992 |
|---|
| 26 | | C. Lisa Dent,
Jesus Boticario,
John P. McDermott,
Tom M. Mitchell,
David Zabowski:
A Personal Learning Apprentice.
AAAI 1992: 96-103 |
| 25 | EE | Tom M. Mitchell,
Sebastian Thrun:
Explanation-Based Neural Network Learning for Robot Control.
NIPS 1992: 287-294 |
| 1991 |
|---|
| 24 | | Tom M. Mitchell:
Personal Learning Apprentices.
ISMIS 1991: 35-37 |
| 23 | | Jeffrey C. Schlimmer,
Tom M. Mitchell,
John P. McDermott:
Justification-Based Refinement of Expert Knowledge.
Knowledge Discovery in Databases 1991: 397-410 |
| 22 | EE | Alan D. Christiansen,
Matthew T. Mason,
Tom M. Mitchell:
Learning reliable manipulation strategies without initial physical models.
Robotics and Autonomous Systems 8(1-2): 7-18 (1991) |
| 21 | | Tom M. Mitchell:
Plan-Then-Compile Architectures.
SIGART Bulletin 2(4): 136-139 (1991) |
| 1990 |
|---|
| 20 | | Tom M. Mitchell:
Becoming Increasingly Reactive.
AAAI 1990: 1051-1058 |
| 1989 |
|---|
| 19 | | Matthew T. Mason,
Alan D. Christiansen,
Tom M. Mitchell:
Experiments in Robot Learning.
ML 1989: 141-145 |
| 18 | | Jim Blythe,
Tom M. Mitchell:
On Becoming Reactive.
ML 1989: 255-259 |
| 17 | | 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) |
| 1986 |
|---|
| 16 | | Tom M. Mitchell,
Richard M. Keller,
Smadar T. Kedar-Cabelli:
Explanation-Based Generalization: A Unifying View.
Machine Learning 1(1): 47-80 (1986) |
| 1985 |
|---|
| 15 | | Tom M. Mitchell,
Sridhar Mahadevan,
Louis I. Steinberg:
LEAP: A Learning Apprentice for VLSl Design.
IJCAI 1985: 573-580 |
| 14 | | 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 |
| 13 | | 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 |
| 12 | | Tom M. Mitchell:
Learning in Knowledge-Base Management Systems.
On Knowledge Base Management Systems (Islamorada) 1985: 403-406 |
| 1983 |
|---|
| 11 | | 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 |
| 10 | | Tom M. Mitchell:
Learning and Problem Solving.
IJCAI 1983: 1139-1151 |
| 9 | | Jaime G. Carbonell,
Ryszard S. Michalski,
Tom M. Mitchell:
Machine Learning: A Historical and Methodological Analysis.
AI Magazine 4(3): 69-79 (1983) |
| 1982 |
|---|
| 8 | | Paul E. Utgoff,
Tom M. Mitchell:
Acquisition of Appropriate Bias for Inductive Concept Learning.
AAAI 1982: 414-417 |
| 7 | | Tom M. Mitchell:
Artificial Intelligence Research at Rutgers.
AI Magazine 3(2): 36-43 (1982) |
| 6 | | 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) |
| 5 | | Tom M. Mitchell:
Generalization as Search.
Artif. Intell. 18(2): 203-226 (1982) |
| 1981 |
|---|
| 4 | | Tom M. Mitchell,
Paul E. Utgoff,
Bernard Nudel,
Ranan B. Banerji:
Learning Problem-Solving Heuristics Through Practice.
IJCAI 1981: 127-134 |
| 3 | | Tom M. Mitchell,
Louis I. Steinberg,
Reid G. Smith,
Pat Schooley,
Howard Jacobs,
Van E. Kelly:
Representations for Reasoning about Digital Circuits.
IJCAI 1981: 343-344 |
| 1977 |
|---|
| 2 | | Tom M. Mitchell:
Version Spaces: A Candidate Elimination Approach to Rule Learning.
IJCAI 1977: 305-310 |
| 1 | | Reid G. Smith,
Tom M. Mitchell,
R. A. Chestek,
Bruce G. Buchanan:
A Model for Learning Systems.
IJCAI 1977: 338-343 |
