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Scott Bennett: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. Raymond J. Mooney, Scott Bennett
    A Domain Independent Explanation-Based Generalizer. [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:551-555 [Conf]
  3. Chinatsu Aone, Scott Bennett
    Evaluating Automated and Manual Acquisition of Anaphora Resolution Strategies. [Citation Graph (0, 0)][DBLP]
    ACL, 1995, pp:122-129 [Conf]
  4. 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]
  5. Chinatsu Aone, Scott Bennett
    Applying machine learning to anaphora resolution. [Citation Graph (0, 0)][DBLP]
    Learning for Natural Language Processing, 1995, pp:302-314 [Conf]
  6. Scott Bennett
    Approximation in Mathematical Domains. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1987, pp:239-241 [Conf]
  7. Scott Bennett, Gerald DeJong
    GRASPER: A Permissive Planning Robot. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:2065-2066 [Conf]
  8. 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]
  9. 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]
  10. Myriam Abramson, Scott Bennett, William Brooks, Emily Hofmann, Paul Krause, Aaron Temin
    Using AI for Counternarcotics: The Predictive Analysis System. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1994, v:9, n:5, pp:12-17 [Journal]
  11. 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]

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