Gerald DeJong

	2009
58		Geoffrey Levine, Gerald DeJong: Object Detection by Estimating and Combining High-Level Features. ICIAP 2009: 161-169
57		Shiau 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
56		Arkady Epshteyn, Adam Vogel, Gerald DeJong: Active reinforcement learning. ICML 2008: 296-303
55		Geoffrey Levine, Gerald DeJong: Explanation-Based Object Recognition. WACV 2008: 1-8
	2007
54		Shiau Hong Lim, Li-Lun Wang, Gerald DeJong: Explanation-Based Feature Construction. IJCAI 2007: 931-
53		Qiang 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
51		Gerald 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
49		Arkady Epshteyn, Gerald DeJong: Qualitative reinforcement learning. ICML 2006: 305-312
48		Arkady Epshteyn, Gerald DeJong: Generative Prior Knowledge for Discriminative Classification. J. Artif. Intell. Res. (JAIR) 27: 25-53 (2006)
	2005
47		Qiang Sun, Gerald DeJong: Feature Kernel Functions: Improving SVMs Using High-Level Knowledge. CVPR (2) 2005: 177-183
46		Arkady Epshteyn, Gerald DeJong: Rotational Prior Knowledge for SVMs. ECML 2005: 108-119
45		Shiau Hong Lim, Gerald DeJong: Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML 2005: 230-241
44		Qiang Sun, Gerald DeJong: Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. ICML 2005: 864-871
43		Arkady 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
41		Kamen 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
34		Gerald DeJong, Scott Bennett: Permissive Planning: Extending Classical Planning to Uncertain Task Domains. Artif. Intell. 89(1-2): 173-217 (1997)
	1996
33		Jonathan 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
5		Gerald 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
2		Roger 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

1	Scott Bennett	[18] [24] [29] [30] [32] [34]
2	Mark Brodie	[36] [37] [39]
3	Steve A. Chien	[20] [23] [27] [28]
4	Michael Cibulskis	[41]
5	Arkady Epshteyn	[43] [46] [48] [49] [56]
6	Boi Faltings	[7]
7	María Jesús Garzarán	[41] [43]
8	Melinda T. Gervasio	[15] [20] [26]
9	Jonathan Gratch	[17] [19] [21] [22] [23] [28] [33]
10	Janet L. Kolodner	[2]
11	Adam Laud	[40] [42]
12	Geoffrey Levine	[50] [55] [58]
13	Xiaoming Li	[41] [43]
14	Shiau Hong Lim	[45] [53] [54] [57]
15	Raymond J. Mooney	[8] [9]
16	David A. Padua	[41] [43]
17	Keshav Pingali	[41] [43]
18	Shankar A. Rajamoney	[7] [11] [13]
19	Gang Ren	[41] [43]
20	Roger C. Schank	[2]
21	Jude W. Shavlik	[10] [12] [16]
22	Paul Stodghill	[41]
23	Qiang Sun	[44] [47] [52] [53]
24	Adam Vogel	[56]
25	Li-Lun Wang	[52] [53] [54] [57]
26	Peng Wu	[41]
27	Kamen Yotov	[41] [43]

Colors in the list of coauthors