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Gerald DeJong Vis

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*2009
57EEGeoffrey Levine, Gerald DeJong: Object Detection by Estimating and Combining High-Level Features. ICIAP 2009: 161-169
56EEShiau Hong Lim, Li-Lun Wang, Gerald DeJong: Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognition 42(12): 3231-3240 (2009)
2008
55EEArkady Epshteyn, Adam Vogel, Gerald DeJong: Active reinforcement learning. ICML 2008: 296-303
2007
54EEShiau Hong Lim, Li-Lun Wang, Gerald DeJong: Explanation-Based Feature Construction. IJCAI 2007: 931-
53EEQiang Sun, Li-Lun Wang, Shiau Hong Lim, Gerald DeJong: Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. IJDAR 10(3-4): 175-186 (2007)
2006
52 Qiang Sun, Li-Lun Wang, Gerald DeJong: Explanation-Based Learning for Image Understanding. AAAI 2006
51EEGerald DeJong: Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning. ECML 2006: 102-113
50 Geoffrey Levine, Gerald DeJong: Explanation-Based Acquisition of Planning Operators. ICAPS 2006: 152-161
49EEArkady Epshteyn, Gerald DeJong: Qualitative reinforcement learning. ICML 2006: 305-312
48EEArkady Epshteyn, Gerald DeJong: Generative Prior Knowledge for Discriminative Classification. J. Artif. Intell. Res. (JAIR) 27: 25-53 (2006)
2005
47EEQiang Sun, Gerald DeJong: Feature Kernel Functions: Improving SVMs Using High-Level Knowledge. CVPR (2) 2005: 177-183
46EEArkady Epshteyn, Gerald DeJong: Rotational Prior Knowledge for SVMs. ECML 2005: 108-119
45EEShiau Hong Lim, Gerald DeJong: Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML 2005: 230-241
44EEQiang Sun, Gerald DeJong: Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. ICML 2005: 864-871
43EEArkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali: Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization. LCPC 2005: 259-273
2003
42 Adam Laud, Gerald DeJong: The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. ICML 2003: 440-447
41EEKamen Yotov, Xiaoming Li, Gang Ren, Michael Cibulskis, Gerald DeJong, María Jesús Garzarán, David A. Padua, Keshav Pingali, Paul Stodghill, Peng Wu: A comparison of empirical and model-driven optimization. PLDI 2003: 63-76
2002
40 Adam Laud, Gerald DeJong: Reinforcement Learning and Shaping: Encouraging Intended Behaviors. ICML 2002: 355-362
2001
39 Mark Brodie, Gerald DeJong: Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control. Machine Learning 45(1): 45-76 (2001)
2000
38 Gerald DeJong: Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. ICML 2000: 215-222
1999
37 Mark Brodie, Gerald DeJong: Learning to Ride a Bicycle using Iterated Phantom Induction. ICML 1999: 57-66
1998
36 Mark Brodie, Gerald DeJong: Iterated Phantom Induction: A Little Knowledge Can Go a Long Way. AAAI/IAAI 1998: 665-670
1997
35 Gerald DeJong: Explanation-Based Learning. The Computer Science and Engineering Handbook 1997: 499-520
34EEGerald DeJong, Scott Bennett: Permissive Planning: Extending Classical Planning to Uncertain Task Domains. Artif. Intell. 89(1-2): 173-217 (1997)
1996
33EEJonathan Gratch, Gerald DeJong: A Statistical Approach to Adaptive Problem Solving. Artif. Intell. 88(1-2): 101-142 (1996)
32 Scott Bennett, Gerald DeJong: Real-World Robotics: Learning to Plan for Robust Execution. Machine Learning 23(2-3): 121-161 (1996)
1995
31 Gerald DeJong: A Case Study of Explanation-Based Control. ICML 1995: 167-175
30 Gerald DeJong, Scott Bennett: Extending Classical Planning to Real-World Execution with Machine Learning. IJCAI 1995: 1153-1161
29 Scott Bennett, Gerald DeJong: GRASPER: A Permissive Planning Robot. IJCAI 1995: 2065-2066
1994
28 Jonathan Gratch, Steve A. Chien, Gerald DeJong: Improving Learning Performance Through Rational Resource Allocation. AAAI 1994: 576-581
27 Steve A. Chien, Gerald DeJong: Constructing Simplified Plans Via Truth Criteria Approximation. AIPS 1994: 19-24
26 Melinda T. Gervasio, Gerald DeJong: An Incremental Learning Approach for Completable Planning. ICML 1994: 78-86
25 Gerald DeJong: Learning to Plan in Continuous Domains. Artif. Intell. 65(1): 71-141 (1994)
1993
24 Gerald DeJong, Scott Bennett: Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds. AAAI 1993: 508-513
23 Jonathan Gratch, Steve A. Chien, Gerald DeJong: Learning Search Control Knowledge for Deep Space Network Scheduling. ICML 1993: 135-142
1992
22 Jonathan Gratch, Gerald DeJong: COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning. AAAI 1992: 235-240
21 Jonathan Gratch, Gerald DeJong: An Analysis of Learning to Plan as a Search Problem. ML 1992: 179-188
1991
20 Steve A. Chien, Melinda T. Gervasio, Gerald DeJong: On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. ML 1991: 288-292
19 Jonathan Gratch, Gerald DeJong: A Hybrid Approach to Guaranteed Effective Control Strategies. ML 1991: 509-513
18 Scott Bennett, Gerald DeJong: Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans. ML 1991: 586-590
17 Gerald DeJong, Jonathan Gratch: Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach. Artif. Intell. 50(1): 117-127 (1991)
1990
16 Jude W. Shavlik, Gerald DeJong: Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations. Artif. Intell. 45(1-2): 1-45 (1990)
1989
15 Melinda T. Gervasio, Gerald DeJong: Explanation-Based Learning of Reactive Operations. ML 1989: 252-254
1988
14 Gerald DeJong: Some Thoughts on the Present and Future of Explanation-Based Learning. ECAI 1988: 690-697
13 Shankar A. Rajamoney, Gerald DeJong: Active Explanation Reduction: An Approach to the Multiple Explanations Problem. ML 1988: 242-255
1987
12 Jude W. Shavlik, Gerald DeJong: BAGGER: An EBL System that Extends and Generalizes Explanations. AAAI 1987: 516-520
11 Shankar A. Rajamoney, Gerald DeJong: The Classification, Detection and Handling of Imperfect Theory Problems. IJCAI 1987: 205-207
10 Jude W. Shavlik, Gerald DeJong: An Explanation-based Approach to Generalizing Number. IJCAI 1987: 236-238
1986
9 Gerald DeJong, Raymond J. Mooney: Explanation-Based Learning: An Alternative View. Machine Learning 1(2): 145-176 (1986)
1985
8 Raymond J. Mooney, Gerald DeJong: Learning Schemata for Natural Language Processing. IJCAI 1985: 681-687
7 Shankar A. Rajamoney, Gerald DeJong, Boi Faltings: Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation. IJCAI 1985: 688-690
1983
6 Gerald DeJong: Acquiring Schemata Through Understanding and Generalizing Plans. IJCAI 1983: 462-464
5EEGerald DeJong: Artificial Intelligence Implications for Information Retrieval. SIGIR 1983: 10-17
1982
4 Gerald DeJong: Automatic Schema Acquisition in a Natural Language Environment. AAAI 1982: 410-413
1981
3 Gerald DeJong: Generalizations Based on Explanations. IJCAI 1981: 67-69
1980
2EERoger C. Schank, Janet L. Kolodner, Gerald DeJong: Conceptual Information Retrieval. SIGIR 1980: 94-116
1977
1 Gerald DeJong: Skimming Newspaper Stories by Computer. IJCAI 1977: 16

Coauthor Index

1Scott Bennett [18] [24] [29] [30] [32] [34]
2Mark Brodie [36] [37] [39]
3Steve A. Chien [20] [23] [27] [28]
4Michael Cibulskis [41]
5Arkady Epshteyn [43] [46] [48] [49] [55]
6Boi Faltings [7]
7María Jesús Garzarán [41] [43]
8Melinda T. Gervasio [15] [20] [26]
9Jonathan Gratch [17] [19] [21] [22] [23] [28] [33]
10Janet L. Kolodner [2]
11Adam Laud [40] [42]
12Geoffrey Levine [50] [57]
13Xiaoming Li [41] [43]
14Shiau Hong Lim [45] [53] [54] [56]
15Raymond J. Mooney [8] [9]
16David A. Padua [41] [43]
17Keshav Pingali [41] [43]
18Shankar A. Rajamoney [7] [11] [13]
19Gang Ren [41] [43]
20Roger C. Schank [2]
21Jude W. Shavlik [10] [12] [16]
22Paul Stodghill [41]
23Qiang Sun [44] [47] [52] [53]
24Adam Vogel [55]
25Li-Lun Wang [52] [53] [54] [56]
26Peng Wu [41]
27Kamen Yotov [41] [43]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)