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ORCIDGerald DeJong
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2010 – 2019
- 2017
[c54]Zhi Chen, Zhangxiaowen Gong, Justin Josef Szaday, David C. Wong, David A. Padua, Alexandru Nicolau, Alexander V. Veidenbaum, Neftali Watkinson
, Zehra Sura, Saeed Maleki, Josep Torrellas, Gerald DeJong:
LORE: A loop repository for the evaluation of compilers. IISWC 2017: 219-228- [r3]Gerald DeJong, Shiau Hong Lim:
Explanation-Based Learning. Encyclopedia of Machine Learning and Data Mining 2017: 487-492 - 2014
- [p1]Gerald DeJong:
Explanation-Based Learning. Computing Handbook, 3rd ed. (1) 2014: 37: 1-20 - 2012
- [j15]Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song:
An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. 3(4): 75:1-75:38 (2012) - 2011
- [c53]Michelene T. H. Chi, Gerald DeJong, Cristine H. Legare, Tania Lombrozo, Joseph Jay Williams:
Explanation-based Mechanisms for Learning: An Interdisciplinary Approach. CogSci 2011 - [c52]Geoffrey Levine, Gerald DeJong:
Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains. IJCNLP 2011: 75-83 - [i1]Gerald DeJong, Arkady Epshteyn:
Generative Prior Knowledge for Discriminative Classification. CoRR abs/1109.6033 (2011) - 2010
- [c51]Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth:
Automatic Model Adaptation for Complex Structured Domains. ECML/PKDD (2) 2010: 243-258 - [r2]Gerald DeJong, Shiau Hong Lim:
Explanation-Based Learning. Encyclopedia of Machine Learning 2010: 388-392
2000 – 2009
- 2009
- [j14]Shiau Hong Lim, Li-Lun Wang, Gerald DeJong:
Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognit. 42(12): 3231-3240 (2009) - [c50]Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread:
An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI 2009 - [c49]Geoffrey Levine, Gerald DeJong:
Object Detection by Estimating and Combining High-Level Features. ICIAP 2009: 161-169 - 2008
- [c48]Arkady Epshteyn, Adam Vogel, Gerald DeJong:
Active reinforcement learning. ICML 2008: 296-303 - [c47]Geoffrey Levine, Gerald DeJong:
Explanation-Based Object Recognition. WACV 2008: 1-8 - 2007
- [j13]Qiang Sun, Li-Lun Wang, Shiau Hong Lim, Gerald DeJong:
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. Int. J. Document Anal. Recognit. 10(3-4): 175-186 (2007) - [c46]Shiau Hong Lim, Li-Lun Wang, Gerald DeJong:
Explanation-Based Feature Construction. IJCAI 2007: 931- - 2006
- [j12]Arkady Epshteyn, Gerald DeJong:
Generative Prior Knowledge for Discriminative Classification. J. Artif. Intell. Res. 27: 25-53 (2006) - [c45]Qiang Sun, Li-Lun Wang, Gerald DeJong:
Explanation-Based Learning for Image Understanding. AAAI 2006: 1679-1682 - [c44]Geoffrey Levine, Gerald DeJong:
Explanation-Based Acquisition of Planning Operators. ICAPS 2006: 152-161 - [c43]Gerald DeJong:
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning. ECML 2006: 102-113 - [c42]Arkady Epshteyn, Gerald DeJong:
Qualitative reinforcement learning. ICML 2006: 305-312 - 2005
- [c41]Qiang Sun, Gerald DeJong:
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge. CVPR (2) 2005: 177-183 - [c40]Arkady Epshteyn, Gerald DeJong:
Rotational Prior Knowledge for SVMs. ECML 2005: 108-119 - [c39]Shiau Hong Lim, Gerald DeJong:
Towards Finite-Sample Convergence of Direct Reinforcement Learning. ECML 2005: 230-241 - [c38]Qiang Sun, Gerald DeJong:
Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. ICML 2005: 864-871 - [c37]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
- [c36]Adam Laud, Gerald DeJong:
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. ICML 2003: 440-447 - [c35]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
- [c34]Adam Laud, Gerald DeJong:
Reinforcement Learning and Shaping: Encouraging Intended Behaviors. ICML 2002: 355-362 - 2001
- [j11]Mark Brodie, Gerald DeJong:
Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control. Mach. Learn. 45(1): 45-76 (2001) - 2000
- [c33]Gerald DeJong:
Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. ICML 2000: 215-222
1990 – 1999
- 1999
- [c32]Mark Brodie, Gerald DeJong:
Learning to Ride a Bicycle using Iterated Phantom Induction. ICML 1999: 57-66 - 1998
- [c31]Mark Brodie, Gerald DeJong:
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way. AAAI/IAAI 1998: 665-670 - 1997
- [j10]Gerald DeJong, Scott W. Bennett:
Permissive Planning: Extending Classical Planning to Uncertain Task Domains. Artif. Intell. 89(1-2): 173-217 (1997) - [r1]Gerald DeJong:
Explanation-Based Learning. The Computer Science and Engineering Handbook 1997: 499-520 - 1996
- [j9]Jonathan Gratch, Gerald DeJong:
A Statistical Approach to Adaptive Problem Solving. Artif. Intell. 88(1-2): 101-142 (1996) - [j8]Scott W. Bennett, Gerald DeJong:
Real-World Robotics: Learning to Plan for Robust Execution. Mach. Learn. 23(2-3): 121-161 (1996) - 1995
- [c30]Gerald DeJong:
A Case Study of Explanation-Based Control. ICML 1995: 167-175 - [c29]Gerald DeJong, Scott W. Bennett:
Extending Classical Planning to Real-World Execution with Machine Learning. IJCAI 1995: 1153-1161 - [c28]Scott W. Bennett, Gerald DeJong:
GRASPER: A Permissive Planning Robot. IJCAI 1995: 2065-2066 - 1994
- [j7]Gerald DeJong:
Learning to Plan in Continuous Domains. Artif. Intell. 65(1): 71-141 (1994) - [c27]Jonathan Gratch, Steve A. Chien, Gerald DeJong:
Improving Learning Performance Through Rational Resource Allocation. AAAI 1994: 576-581 - [c26]Steve A. Chien, Gerald DeJong:
Constructing Simplified Plans Via Truth Criteria Approximation. AIPS 1994: 19-24 - [c25]Melinda T. Gervasio, Gerald DeJong:
An Incremental Learning Approach for Completable Planning. ICML 1994: 78-86 - 1993
- [j6]Sang-Chan Park, Melinda T. Gervasio, Michael J. Shaw, Gerald DeJong:
Explanation-based learning for intelligent process planning. IEEE Trans. Syst. Man Cybern. 23(6): 1597-1616 (1993) - [c24]Gerald DeJong, Scott W. Bennett:
Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds. AAAI 1993: 508-513 - [c23]Jonathan Gratch, Steve A. Chien, Gerald DeJong:
Learning Search Control Knowledge for Deep Space Network Scheduling. ICML 1993: 135-142 - 1992
- [c22]Jonathan Gratch, Gerald DeJong:
COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning. AAAI 1992: 235-240 - [c21]Jonathan Gratch, Gerald DeJong:
An Analysis of Learning to Plan as a Search Problem. ML 1992: 179-188 - 1991
- [j5]Gerald DeJong, Jonathan Gratch:
Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach. Artif. Intell. 50(1): 117-127 (1991) - [c20]Steve A. Chien, Melinda T. Gervasio, Gerald DeJong:
On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. ML 1991: 288-292 - [c19]Jonathan Gratch, Gerald DeJong:
A Hybrid Approach to Guaranteed Effective Control Strategies. ML 1991: 509-513 - [c18]Scott W. Bennett, Gerald DeJong:
Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans. ML 1991: 586-590 - 1990
- [j4]Jude W. Shavlik, Gerald DeJong:
Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations. Artif. Intell. 45(1-2): 1-45 (1990)
1980 – 1989
- 1989
- [c17]Melinda T. Gervasio, Gerald DeJong:
Explanation-Based Learning of Reactive Operations. ML 1989: 252-254 - 1988
- [c16]Gerald DeJong:
Some Thoughts on the Present and Future of Explanation-Based Learning. ECAI 1988: 690-697 - [c15]Shankar A. Rajamoney, Gerald DeJong:
Active Explanation Reduction: An Approach to the Multiple Explanations Problem. ML 1988: 242-255 - 1987
- [c14]Jude W. Shavlik, Gerald DeJong:
BAGGER: An EBL System that Extends and Generalizes Explanations. AAAI 1987: 516-520 - [c13]Shankar A. Rajamoney, Gerald DeJong:
The Classification, Detection and Handling of Imperfect Theory Problems. IJCAI 1987: 205-207 - [c12]Jude W. Shavlik, Gerald DeJong:
An Explanation-based Approach to Generalizing Number. IJCAI 1987: 236-238 - 1986
- [j3]Gerald DeJong, Raymond J. Mooney:
Explanation-Based Learning: An Alternative View. Mach. Learn. 1(2): 145-176 (1986) - [c11]Jude W. Shavlik, Gerald DeJong:
Computer understanding and generalization of symbolic mathematical calculations: a case study in physics problem solving. SYMSAC 1986: 148-153 - 1985
- [c10]Alberto Maria Segre, Gerald DeJong:
Explanation-based manipulator learning: Acquisition of planning ability through observation. ICRA 1985: 555-560 - [c9]Raymond J. Mooney, Gerald DeJong:
Learning Schemata for Natural Language Processing. IJCAI 1985: 681-687 - [c8]Shankar A. Rajamoney, Gerald DeJong, Boi Faltings:
Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation. IJCAI 1985: 688-690 - 1983
- [c7]Gerald DeJong:
Acquiring Schemata Through Understanding and Generalizing Plans. IJCAI 1983: 462-464 - [c6]Gerald DeJong:
Artificial Intelligence Implications for Information Retrieval. SIGIR 1983: 10-17 - 1982
- [c5]Gerald DeJong:
Automatic Schema Acquisition in a Natural Language Environment. AAAI 1982: 410-413 - 1981
- [c4]Gerald DeJong:
Generalizations Based on Explanations. IJCAI 1981: 67-69 - 1980
- [c3]Roger C. Schank, Janet L. Kolodner, Gerald DeJong:
Conceptual Information Retrieval. SIGIR 1980: 94-116
1970 – 1979
- 1979
- [j2]Gerald DeJong:
Prediction and Substantiation: A New Approach to Natural Language Processing. Cogn. Sci. 3(3): 251-273 (1979) - [c2]Gerald DeJong:
Prediction and Substantiation: Two Processes that Comprise Understanding. IJCAI 1979: 217-222 - 1977
- [j1]Gerald DeJong:
FRUMP...FRUMP...FRUMP... SIGART Newsl. 61: 54-55 (1977) - [c1]Gerald DeJong:
Skimming Newspaper Stories by Computer. IJCAI 1977: 16
Coauthor Index
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