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123Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning and Ecosystem Informatics: Challenges and Opportunities. ACML 2009: 1-5
122Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich: Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR 2009: 549-556
121Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Dietterich: Learning non-redundant codebooks for classifying complex objects. ICML 2009: 156
120Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning in Ecosystem Informatics and Sustainability. IJCAI 2009: 8-13
119Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich: Detecting and correcting user activity switches: algorithms and interfaces. IUI 2009: 117-126
118Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Erin Fitzhenry, Thomas G. Dietterich: Discovering frequent work procedures from resource connections. IUI 2009: 277-286
117Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Thomas G. Dietterich: A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. SDM 2009: 164-172
116Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimone Stumpf, Vidya Rajaram, Lida Li, Weng-Keen Wong, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Jonathan L. Herlocker: Interacting meaningfully with machine learning systems: Three experiments. Int. J. Hum.-Comput. Stud. 67(8): 639-662 (2009)
115Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Thomas G. Dietterich: A family of large margin linear classifiers and its application in dynamic environments. Statistical Analysis and Data Mining 2(5-6): 328-345 (2009)
2008
114no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008
113no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Xinlong Bao: Integrating Multiple Learning Components through Markov Logic. AAAI 2008: 622-627
112Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael Wynkoop, Thomas G. Dietterich: Learning MDP Action Models Via Discrete Mixture Trees. ECML/PKDD (2) 2008: 597-612
111Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNeville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic discovery and transfer of MAXQ hierarchies. ICML 2008: 648-655
110Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Zhang, Thomas G. Dietterich: Learning visual dictionaries and decision lists for object recognition. ICPR 2008: 1-4
109Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern: Learning first-order probabilistic models with combining rules. Ann. Math. Artif. Intell. 54(1-3): 223-256 (2008)
108Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNatalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Salvador Ruiz-Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich: Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. Mach. Vis. Appl. 19(2): 105-123 (2008)
107Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli: Structured machine learning: the next ten years. Machine Learning 73(1): 3-23 (2008)
2007
106Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning in Ecosystem Informatics. ALT 2007: 10-11
105Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHongli Deng, Wei Zhang, Eric N. Mortensen, Thomas G. Dietterich, Linda G. Shapiro: Principal Curvature-Based Region Detector for Object Recognition. CVPR 2007
104Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning in Ecosystem Informatics. Discovery Science 2007: 9-25
103Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Lida Li, Thomas G. Dietterich: Real-Time Detection of Task Switches of Desktop Users. IJCAI 2007: 2868-2873
102Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Thomas G. Dietterich: Active EM to reduce noise in activity recognition. IUI 2007: 132-140
101Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimone Stumpf, Vidya Rajaram, Lida Li, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Russell Drummond, Jonathan L. Herlocker: Toward harnessing user feedback for machine learning. IUI 2007: 82-91
100no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimone Stumpf, Margaret M. Burnett, Thomas G. Dietterich: Improving Intelligent Assistants for Desktop Activities. Interaction Challenges for Intelligent Assistants 2007: 119-121
99Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton: 07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
98Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNatalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Ruiz Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich: Automated Insect Identification through Concatenated Histograms of Local Appearance Features. WACV 2007: 26
2006
97no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006
96Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Zhang, Hongli Deng, Thomas G. Dietterich, Eric N. Mortensen: A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions. ICPR (1) 2006: 778-782
95Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXinlong Bao, Jonathan L. Herlocker, Thomas G. Dietterich: Fewer clicks and less frustration: reducing the cost of reaching the right folder. IUI 2006: 178-185
94Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJianqiang Shen, Lida Li, Thomas G. Dietterich, Jonathan L. Herlocker: A hybrid learning system for recognizing user tasks from desktop activities and email messages. IUI 2006: 86-92
2005
93no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimone Stumpf, Xinlong Bao, Anton N. Dragunov, Thomas G. Dietterich, Jonathan L. Herlocker, Kevin Johnsrude, Lida Li, Jianqiang Shen: The TaskTracker System. AAAI 2005: 1712-1713
92Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar: Learning first-order probabilistic models with combining rules. ICML 2005: 609-616
91Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAnton N. Dragunov, Thomas G. Dietterich, Kevin Johnsrude, Matthew R. McLaughlin, Lida Li, Jonathan L. Herlocker: TaskTracer: a desktop environment to support multi-tasking knowledge workers. IUI 2005: 75-82
90Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
89Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLuc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton: 05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. Probabilistic, Logical and Relational Learning 2005
88Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric Altendorf, Angelo C. Restificar, Thomas G. Dietterich: Learning from Sparse Data by Exploiting Monotonicity Constraints. UAI 2005: 18-26
87Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLValentina Bayer Zubek, Thomas G. Dietterich: Integrating Learning from Examples into the Search for Diagnostic Policies. J. Artif. Intell. Res. (JAIR) 24: 263-303 (2005)
2004
86Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPengcheng Wu, Thomas G. Dietterich: Improving SVM accuracy by training on auxiliary data sources. ICML 2004
85Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov: Training conditional random fields via gradient tree boosting. ICML 2004
84Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiorgio Valentini, Thomas G. Dietterich: Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. Journal of Machine Learning Research 5: 725-775 (2004)
2003
83no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiorgio Valentini, Thomas G. Dietterich: Low Bias Bagged Support Vector Machines. ICML 2003: 752-759
82no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXin Wang, Thomas G. Dietterich: Model-based Policy Gradient Reinforcement Learning. ICML 2003: 776-783
2002
81Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDídac Busquets, Ramon López de Mántaras, Carles Sierra, Thomas G. Dietterich: A Multi-agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation. CCIA 2002: 269-281
80no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Dídac Busquets, Ramon López de Mántaras, Carles Sierra: Action Refinement in Reinforcement Learning by Probability Smoothing. ICML 2002: 107-114
79no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLValentina Bayer Zubek, Thomas G. Dietterich: Pruning Improves Heuristic Search for Cost-Sensitive Learning. ICML 2002: 19-26
78Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiorgio Valentini, Thomas G. Dietterich: Bias-Variance Analysis and Ensembles of SVM. Multiple Classifier Systems 2002: 222-231
77Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning for Sequential Data: A Review. SSPR/SPR 2002: 15-30
2001
76no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTodd K. Leen, Thomas G. Dietterich, Volker Tresp: Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA MIT Press 2001
75no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada] MIT Press 2001
74Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Xin Wang: Support Vectors for Reinforcement Learning. ECML 2001: 600
73Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Xin Wang: Batch Value Function Approximation via Support Vectors. NIPS 2001: 1491-1498
72Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXin Wang, Thomas G. Dietterich: Stabilizing Value Function Approximation with the BFBP Algorithm. NIPS 2001: 1587-1594
71Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Xin Wang: Support Vectors for Reinforcement Learning. PKDD 2001: 492
2000
70Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: The Divide-and-Conquer Manifesto. ALT 2000: 13-26
69no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric Chown, Thomas G. Dietterich: A Divide and Conquer Approach to Learning from Prior Knowledge. ICML 2000: 143-150
68no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDragos D. Margineantu, Thomas G. Dietterich: Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. ICML 2000: 583-590
67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTony Fountain, Thomas G. Dietterich, Bill Sudyka: Mining IC test data to optimize VLSI testing. KDD 2000: 18-25
66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Ensemble Methods in Machine Learning. Multiple Classifier Systems 2000: 1-15
65no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLValentina Bayer Zubek, Thomas G. Dietterich: A POMDP Approximation Algorithm That Anticipates the Need to Observe. PRICAI 2000: 521-532
64Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: An Overview of MAXQ Hierarchical Reinforcement Learning. SARA 2000: 26-44
63Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition. J. Artif. Intell. Res. (JAIR) 13: 227-303 (2000)
62no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. Machine Learning 40(2): 139-157 (2000)
1999
61Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: State Abstraction in MAXQ Hierarchical Reinforcement Learning. NIPS 1999: 994-1000
60Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition CoRR cs.LG/9905014: (1999)
59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: State Abstraction in MAXQ Hierarchical Reinforcement Learning CoRR cs.LG/9905015: (1999)
1998
58no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: The MAXQ Method for Hierarchical Reinforcement Learning. ICML 1998: 118-126
57no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms. Neural Computation 10(7): 1895-1923 (1998)
1997
56no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDragos D. Margineantu, Thomas G. Dietterich: Pruning Adaptive Boosting. ICML 1997: 211-218
55no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPrasad Tadepalli, Thomas G. Dietterich: Hierarchical Explanation-Based Reinforcement Learning. ICML 1997: 358-366
54no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine-Learning Research. AI Magazine 18(4): 97-136 (1997)
53Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez: Solving the Multiple Instance Problem with Axis-Parallel Rectangles. Artif. Intell. 89(1-2): 31-71 (1997)
52no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. Machine Learning 28(2-3): 169-210 (1997)
1996
51no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Michael J. Kearns, Yishay Mansour: Applying the Waek Learning Framework to Understand and Improve C4.5. ICML 1996: 96-104
50no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Machine Learning. ACM Comput. Surv. 28(4es): 3 (1996)
49no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Editorial. Machine Learning 22(1-3): 5-6 (1996)
1995
48no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. ICML 1995: 176-184
47no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEun Bae Kong, Thomas G. Dietterich: Error-Correcting Output Coding Corrects Bias and Variance. ICML 1995: 313-321
46no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Zhang, Thomas G. Dietterich: A Reinforcement Learning Approach to job-shop Scheduling. IJCAI 1995: 1114-1120
45Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Zhang, Thomas G. Dietterich: High-Performance Job-Shop Scheduling With A Time-Delay TD-lambda Network. NIPS 1995: 1024-1030
44no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Overfitting and Undercomputing in Machine Learning. ACM Comput. Surv. 27(3): 326-327 (1995)
43Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes CoRR cs.AI/9501101: (1995)
42no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ghulum Bakiri: Solving Multiclass Learning Problems via Error-Correcting Output Codes. J. Artif. Intell. Res. (JAIR) 2: 263-286 (1995)
41no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Hermann Hild, Ghulum Bakiri: A Comparison of ID3 and Backpropagation for English Text-to-Speech Mapping. Machine Learning 18(1): 51-80 (1995)
40no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDietrich Wettschereck, Thomas G. Dietterich: An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. Machine Learning 19(1): 5-27 (1995)
1994
39no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHussein Almuallim, Thomas G. Dietterich: Learning Boolean Concepts in the Presence of Many Irrelevant Features. Artif. Intell. 69(1-2): 279-305 (1994)
38no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAjay N. Jain, Thomas G. Dietterich, Richard H. Lathrop, David Chapman, Roger E. Critchlow Jr., Barr E. Bauer, Teresa A. Webster, Tomás Lozano-Pérez: Compass: A shape-based machine learning tool for drug design. Journal of Computer-Aided Molecular Design 8(6): 635-652 (1994)
37no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Editorial: New Editorial Board Members. Machine Learning 16(1-2): 5-6 (1994)
1993
36Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore: Memory-Based Methods for Regression and Classification. NIPS 1993: 1165-1166
35Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDietrich Wettschereck, Thomas G. Dietterich: Locally Adaptive Nearest Neighbor Algorithms. NIPS 1993: 184-191
34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ajay N. Jain, Richard H. Lathrop, Tomás Lozano-Pérez: A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction. NIPS 1993: 216-223
33no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Editorial. Machine Learning 10: 5 (1993)
1992
32no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHussein Almuallim, Thomas G. Dietterich: On Learning More Concepts. ML 1992: 11-19
31no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Editorial. Machine Learning 8: 105 (1992)
1991
30no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHussein Almuallim, Thomas G. Dietterich: Learning with Many Irrelevant Features. AAAI 1991: 547-552
29no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ghulum Bakiri: Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs. AAAI 1991: 572-577
28no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiuseppe Cerbone, Thomas G. Dietterich: Knowledge Compilation to Speed Up Numerical Optimisation. AI*IA 1991: 208-217
27no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSteve A. Chien, Bradley L. Whitehall, Thomas G. Dietterich, Richard J. Doyle, Brian Falkenhainer, James Garrett, Stephen C. Y. Lu: Machine Learning in Engineering Automation. ML 1991: 577-580
26no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGiuseppe Cerbone, Thomas G. Dietterich: Knowledge Compilation to Speed Up Numerical Optimization. ML 1991: 600-604
25Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDietrich Wettschereck, Thomas G. Dietterich: Improving the Performance of Radial Basis Function Networks by Learning Center Locations. NIPS 1991: 1133-1140
24Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAshok K. Goel, Tom Bylander, B. Chandrasekaran, Thomas G. Dietterich, Richard M. Keller, Chris Tong: Knowledge Compilation: A Symposium. IEEE Expert 6(2): 71-93 (1991)
1990
23no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Hermann Hild, Ghulum Bakiri: A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping. ML 1990: 24-31
22no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Exploratory Research in Machine Learning. Machine Learning 5: 5-9 (1990)
1989
21no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRitchey A. Ruff, Thomas G. Dietterich: What Good Are Experiments?. ML 1989: 109-112
20no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Limitations on Inductive Learning. ML 1989: 124-128
19no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 3: 373-375 (1989)
18no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 4: 107-109 (1989)
17no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNicholas S. Flann, Thomas G. Dietterich: A Study of Explanation-Based Methods for Inductive Learning. Machine Learning 4: 187-226 (1989)
1988
16no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCaroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich: An Efficient ATMS for Equivalence Relations. AAAI 1988: 182-187
15no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 3: 247-249 (1988)
1987
14no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon: Forward Chaining Logic Programming with the ATMS. AAAI 1987: 24-29
13no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 2(1): 75-96 (1987)
12no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 2(2): 191-192 (1987)
11no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 2(3): 277-278 (1987)
10no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 2(4): 397-398 (1987)
1986
9no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNicholas S. Flann, Thomas G. Dietterich: Selecting Appropriate Representations for Learning from Examples. AAAI 1986: 460-466
8no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Nicholas S. Flann, David C. Wilkins: News and Notes. Machine Learning 1(2): 227-242 (1986)
7no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Learning at the Knowledge Level. Machine Learning 1(3): 287-316 (1986)
6no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYves Kodratoff, Gheorghe Tecuci, Thomas G. Dietterich: News and Notes. Machine Learning 1(3): 355-358 (1986)
5no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: News and Notes. Machine Learning 1(4): 453-454 (1986)
1985
4no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ryszard S. Michalski: Discovering Patterns in Sequences of Events. Artif. Intell. 25(2): 187-232 (1985)
1984
3no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Learning About Systems That Contain State Variables. AAAI 1984: 96-100
1981
2no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich, Ryszard S. Michalski: Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. Artif. Intell. 16(3): 257-294 (1981)
1980
1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas G. Dietterich: Applying General Induction Methods to the Card Game Eleusis. AAAI 1980: 218-220

Coauthor Index

1Hussein Almuallim [30] [32] [39]
2Eric Altendorf [88] [92]
3Adam Ashenfelter [85]
4Christopher G. Atkeson [36]
5Ghulum Bakiri [23] [29] [41] [42] [43]
6Xinlong Bao [93] [95] [113] [119]
7Barr E. Bauer [38]
8Suzanna Becker [75]
9Yaroslav Bulatov [85]
10Margaret M. Burnett [100] [101] [116]
11Dídac Busquets [80] [81]
12Tom Bylander [24]
13Fredric Carl [119]
14Giuseppe Cerbone [26] [28]
15B. Chandrasekaran (Balakrishnan Chandrasekaran) [24]
16David Chapman [38]
17Steve A. Chien [27]
18Eric Chown [69]
19Dan R. Corpon [14]
20Ruiz Correa [98]
21Roger E. Critchlow Jr. [38]
22Hongli Deng [96] [98] [105] [108]
23Pedro Domingos [107]
24Richard J. Doyle [27]
25Anton N. Dragunov [91] [93]
26Russell Drummond [101]
27Brian Falkenhainer [27]
28Alan Fern [92] [109]
29Xiaoli Fern [121]
30Erin Fitzhenry [118]
31Nicholas S. Flann [8] [9] [14] [16] [17] [48] [52]
32Tony Fountain [67]
33James Garrett [27]
34Lise Getoor [89] [90] [97] [99] [107] [114]
35Zoubin Ghahramani [75]
36Ashok K. Goel [24]
37Michael Goodman [119]
38Jonathan L. Herlocker [91] [93] [94] [95] [101] [116]
39Hermann Hild [23] [41]
40Jed Irvine [119]
41Ajay N. Jain [34] [38]
42Kevin Johnsrude [91] [93]
43Michael J. Kearns [51]
44Richard M. Keller [24]
45Kristian Kersting [99] [114]
46Brenton Kirschner [119]
47Yves Kodratoff [6]
48Caroline N. Koff [16]
49Stephen Kolibaba [119]
50Eun Bae Kong [47]
51Natalia Larios (Natalia Larios Delgado) [98] [108] [122]
52Richard H. Lathrop [34] [38] [53]
53Todd K. Leen [76]
54Lida Li [91] [93] [94] [101] [103] [116]
55Tomás Lozano-Pérez [34] [38] [53]
56Stephen C. Y. Lu [27]
57David A. Lytle [98] [108] [122]
58Yishay Mansour [51]
59Ramon López de Mántaras [80] [81]
60Dragos D. Margineantu [56] [68]
61Gonzalo Martínez-Muñoz [122]
62Matthew R. McLaughlin [91]
63Neville Mehta [111]
64Ryszard S. Michalski [2] [4]
65Andrew Moldenke [98] [108] [122]
66Andrew W. Moore [36]
67Eric N. Mortensen [96] [98] [105] [108] [122]
68Stephen Muggleton [89] [90] [97] [99] [107] [114]
69Sriraam Natarajan [92] [109]
70Robert Paasch [98] [108] [122]
71Nadia Payet [122]
72Luc De Raedt [89] [90] [97] [99] [114]
73Vidya Rajaram [101] [116]
74Soumya Ray [111]
75Angelo C. Restificar [88] [92]
76Ritchey A. Ruff [21]
77Salvador Ruiz-Correa [108]
78Matt Sarpola [98] [108]
79Linda G. Shapiro [98] [105] [108] [122]
80Jianqiang Shen [93] [94] [102] [103] [115] [117] [118] [119]
81Carles Sierra [80] [81]
82Simone Stumpf [93] [100] [101] [116] [119]
83Bill Sudyka [67]
84Erin Sullivan [101] [116]
85Akshat Surve [121]
86Prasad Tadepalli [55] [92] [107] [109] [111]
87Gheorghe Tecuci [6]
88Sinisa Todorovic [122]
89Chris Tong [24]
90Anh Tran [119]
91Volker Tresp [76]
92Giorgio Valentini [78] [83] [84]
93Xin Wang [71] [72] [73] [74] [82]
94Teresa A. Webster [38]
95Dietrich Wettschereck [25] [35] [36] [40]
96Bradley L. Whitehall [27]
97David C. Wilkins [8]
98Weng-Keen Wong [116]
99Pengcheng Wu [86]
100Michael Wynkoop [112]
101Asako Yamamuro [122]
102Jenny Yuen [98] [108]
103Wei Zhang [45] [46] [96] [98] [105] [108] [110] [121] [122]
104Valentina Bayer Zubek [65] [79] [87]

Colors in the list of coauthors

Copyright © Sun Mar 14 22:39:24 2010 by Michael Ley (ley@uni-trier.de)