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David C. Wilkins: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. David C. Wilkins
    Knowledge Base Refinement Using Apprenticeship Learning Techniques. [Citation Graph (1, 0)][DBLP]
    AAAI, 1988, pp:646-653 [Conf]
  2. Vadim Bulitko, David C. Wilkins
    Automated Instructor Assistant for Ship Damage Control. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:778-785 [Conf]
  3. Steven K. Donoho, David C. Wilkins
    Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:569-575 [Conf]
  4. Steven K. Donoho, David C. Wilkins
    Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:1443- [Conf]
  5. Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins
    Bayesian Network Models for Generation of Crisis Management Training Scenarios. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:1113-1120 [Conf]
  6. Ole J. Mengshoel, David C. Wilkins
    ReCognition and Critiquing of Erroneous Agent Actions. [Citation Graph (0, 0)][DBLP]
    Agent Modeling, 1996, pp:61-68 [Conf]
  7. Young-Tack Park, David C. Wilkins
    Establishing the Coherence of an Evplanation to Improve Refinement of an Incomplete Knowledge Base. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:511-516 [Conf]
  8. David C. Wilkins, Bruce G. Buchanan
    On Debugging Rule Sets When Reasoning Under Uncertainty. [Citation Graph (0, 0)][DBLP]
    AAAI, 1986, pp:448-454 [Conf]
  9. Vadim Bulitko, David C. Wilkins
    Machine Learning for Time Interval Petri Nets. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:959-965 [Conf]
  10. Yong Ma, David C. Wilkins
    Induction of Uncertain Rules and the Sociopathicity Property in Dempster-Shafer Theory. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:238-245 [Conf]
  11. Ole J. Mengshoel, David C. Wilkins
    Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:547-556 [Conf]
  12. Janet A. Sniezek, David C. Wilkins, Patrick Wadlington
    Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces. [Citation Graph (0, 0)][DBLP]
    HICSS, 2001, pp:- [Conf]
  13. David C. Wilkins, Patricia M. Jones, Roger Bargar, Caroline C. Hayes, Oleksandr Chernychenko
    Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems. [Citation Graph (0, 0)][DBLP]
    HICSS, 1999, pp:- [Conf]
  14. Eugene Grois, David C. Wilkins
    Learning strategies for story comprehension: a reinforcement learning approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:257-264 [Conf]
  15. Yong Ma, David C. Wilkins
    Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:23-27 [Conf]
  16. Sheldon Nicholl, David C. Wilkins
    Computer Modelling of Acquisition Orders in Child Language. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:100-104 [Conf]
  17. David C. Wilkins, Kok-Wah Tan
    Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:332-339 [Conf]
  18. Eugene Grois, David C. Wilkins
    Learning Strategies for Open-Domain Natural Language Question Answering. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1054-1060 [Conf]
  19. David C. Wilkins
    Knowledge Base Refinement Using Apprenticeship Learning Techniques. [Citation Graph (0, 0)][DBLP]
    Knowledge Representation and Organization in Machine Learning, 1987, pp:247-257 [Conf]
  20. David C. Wilkins
    Machine Learning Techniques for Knowledge-Based Systems. [Citation Graph (0, 0)][DBLP]
    SCAI, 1988, pp:359-360 [Conf]
  21. Surya Ramachandran, David C. Wilkins
    Temporal Control Structures in Expert Critiquing Systems. [Citation Graph (0, 0)][DBLP]
    TIME, 1997, pp:160-167 [Conf]
  22. Vadim Bulitko, David C. Wilkins
    Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:144, n:1-2, pp:95-124 [Journal]
  23. Ole J. Mengshoel, David C. Wilkins, Dan Roth
    Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:16-17, pp:1137-1174 [Journal]
  24. David C. Wilkins, Yong Ma
    The Refinement of Probabilistic Rule Sets: Sociopathic Interactions. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1994, v:70, n:1-2, pp:1-32 [Journal]
  25. David C. Wilkins, William J. Clancey, Bruce G. Buchanan
    Knowledge Base Refinement by Monitoring Abstract Control Knowledge. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1987, v:27, n:3, pp:281-293 [Journal]
  26. Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins
    News and Notes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1986, v:1, n:2, pp:227-242 [Journal]
  27. William H. Hsu, Sylvian R. Ray, David C. Wilkins
    A Multistrategy Approach to Classifier Learning from Time Series. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:38, n:1-2, pp:213-236 [Journal]

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