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Gerald DeJong: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gerald DeJong, Raymond J. Mooney
    Explanation-Based Learning: An Alternative View. [Citation Graph (4, 0)][DBLP]
    Machine Learning, 1986, v:1, n:2, pp:145-176 [Journal]
  2. Mark Brodie, Gerald DeJong
    Iterated Phantom Induction: A Little Knowledge Can Go a Long Way. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:665-670 [Conf]
  3. Gerald DeJong
    Automatic Schema Acquisition in a Natural Language Environment. [Citation Graph (0, 0)][DBLP]
    AAAI, 1982, pp:410-413 [Conf]
  4. Gerald DeJong, Scott Bennett
    Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:508-513 [Conf]
  5. Jonathan Gratch, Steve A. Chien, Gerald DeJong
    Improving Learning Performance Through Rational Resource Allocation. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:576-581 [Conf]
  6. Jonathan Gratch, Gerald DeJong
    COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 1992, pp:235-240 [Conf]
  7. Jude W. Shavlik, Gerald DeJong
    BAGGER: An EBL System that Extends and Generalizes Explanations. [Citation Graph (0, 0)][DBLP]
    AAAI, 1987, pp:516-520 [Conf]
  8. Qiang Sun, Li-Lun Wang, Gerald DeJong
    Explanation-Based Learning for Image Understanding. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  9. Steve A. Chien, Gerald DeJong
    Constructing Simplified Plans Via Truth Criteria Approximation. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:19-24 [Conf]
  10. Qiang Sun, Gerald DeJong
    Feature Kernel Functions: Improving SVMs Using High-Level Knowledge. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:177-183 [Conf]
  11. Gerald DeJong
    Some Thoughts on the Present and Future of Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    ECAI, 1988, pp:690-697 [Conf]
  12. Gerald DeJong
    Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:102-113 [Conf]
  13. Arkady Epshteyn, Gerald DeJong
    Rotational Prior Knowledge for SVMs. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:108-119 [Conf]
  14. Shiau Hong Lim, Gerald DeJong
    Towards Finite-Sample Convergence of Direct Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:230-241 [Conf]
  15. Scott Bennett, Gerald DeJong
    Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:586-590 [Conf]
  16. Steve A. Chien, Melinda T. Gervasio, Gerald DeJong
    On Becoming Decreasingly Reactive: Learning to Deliberate Minimally. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:288-292 [Conf]
  17. Mark Brodie, Gerald DeJong
    Learning to Ride a Bicycle using Iterated Phantom Induction. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:57-66 [Conf]
  18. Gerald DeJong
    Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:215-222 [Conf]
  19. Gerald DeJong
    A Case Study of Explanation-Based Control. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:167-175 [Conf]
  20. Arkady Epshteyn, Gerald DeJong
    Qualitative reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:305-312 [Conf]
  21. Melinda T. Gervasio, Gerald DeJong
    Explanation-Based Learning of Reactive Operations. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:252-254 [Conf]
  22. Melinda T. Gervasio, Gerald DeJong
    An Incremental Learning Approach for Completable Planning. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:78-86 [Conf]
  23. Jonathan Gratch, Steve A. Chien, Gerald DeJong
    Learning Search Control Knowledge for Deep Space Network Scheduling. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:135-142 [Conf]
  24. Jonathan Gratch, Gerald DeJong
    A Hybrid Approach to Guaranteed Effective Control Strategies. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:509-513 [Conf]
  25. Jonathan Gratch, Gerald DeJong
    An Analysis of Learning to Plan as a Search Problem. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:179-188 [Conf]
  26. Adam Laud, Gerald DeJong
    Reinforcement Learning and Shaping: Encouraging Intended Behaviors. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:355-362 [Conf]
  27. Adam Laud, Gerald DeJong
    The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:440-447 [Conf]
  28. Shankar A. Rajamoney, Gerald DeJong
    Active Explanation Reduction: An Approach to the Multiple Explanations Problem. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:242-255 [Conf]
  29. Qiang Sun, Gerald DeJong
    Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:864-871 [Conf]
  30. Scott Bennett, Gerald DeJong
    GRASPER: A Permissive Planning Robot. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:2065-2066 [Conf]
  31. Gerald DeJong
    Skimming Newspaper Stories by Computer. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1977, pp:16- [Conf]
  32. Gerald DeJong
    Generalizations Based on Explanations. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:67-69 [Conf]
  33. Gerald DeJong
    Acquiring Schemata Through Understanding and Generalizing Plans. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:462-464 [Conf]
  34. Gerald DeJong, Scott Bennett
    Extending Classical Planning to Real-World Execution with Machine Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1153-1161 [Conf]
  35. Raymond J. Mooney, Gerald DeJong
    Learning Schemata for Natural Language Processing. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:681-687 [Conf]
  36. Shankar A. Rajamoney, Gerald DeJong
    The Classification, Detection and Handling of Imperfect Theory Problems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:205-207 [Conf]
  37. Shankar A. Rajamoney, Gerald DeJong, Boi Faltings
    Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:688-690 [Conf]
  38. Jude W. Shavlik, Gerald DeJong
    An Explanation-based Approach to Generalizing Number. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:236-238 [Conf]
  39. Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
    Explanation-Based Feature Construction. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:931-0 [Conf]
  40. 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. [Citation Graph (0, 0)][DBLP]
    LCPC, 2005, pp:259-273 [Conf]
  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. [Citation Graph (0, 0)][DBLP]
    PLDI, 2003, pp:63-76 [Conf]
  42. Gerald DeJong
    Artificial Intelligence Implications for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1983, pp:10-17 [Conf]
  43. Roger C. Schank, Janet L. Kolodner, Gerald DeJong
    Conceptual Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1980, pp:94-116 [Conf]
  44. Gerald DeJong
    Learning to Plan in Continuous Domains. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1994, v:65, n:1, pp:71-141 [Journal]
  45. Gerald DeJong, Scott Bennett
    Permissive Planning: Extending Classical Planning to Uncertain Task Domains. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:89, n:1-2, pp:173-217 [Journal]
  46. Gerald DeJong, Jonathan Gratch
    Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1991, v:50, n:1, pp:117-127 [Journal]
  47. Jonathan Gratch, Gerald DeJong
    A Statistical Approach to Adaptive Problem Solving. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:88, n:1-2, pp:101-142 [Journal]
  48. Jude W. Shavlik, Gerald DeJong
    Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1990, v:45, n:1-2, pp:1-45 [Journal]
  49. Mark Brodie, Gerald DeJong
    Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:45, n:1, pp:45-76 [Journal]
  50. Scott Bennett, Gerald DeJong
    Real-World Robotics: Learning to Plan for Robust Execution. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:23, n:2-3, pp:121-161 [Journal]
  51. Geoffrey Levine, Gerald DeJong
    Explanation-Based Acquisition of Planning Operators. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2006, pp:152-161 [Conf]
  52. Arkady Epshteyn, Gerald DeJong
    Generative Prior Knowledge for Discriminative Classification. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:27, n:, pp:25-53 [Journal]

  53. Object Detection by Estimating and Combining High-Level Features. [Citation Graph (, )][DBLP]

  54. Active reinforcement learning. [Citation Graph (, )][DBLP]

  55. Automatic Model Adaptation for Complex Structured Domains. [Citation Graph (, )][DBLP]

  56. Explanation-Based Object Recognition. [Citation Graph (, )][DBLP]

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