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George F. Luger: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. William B. Klein, Carl R. Stern, George F. Luger, Eric T. Olsson
    An Intelligent Control Architecture for Accelerator Beamline Tuning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:1019-1025 [Conf]
  2. William A. Stubblefield, George F. Luger
    Source Selection for Analogical Reasoning: An Empirical Approach. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:696-702 [Conf]
  3. William B. Klein, Carl R. Stern, George F. Luger, Daniel Pless
    Teleo-reactive Control for Accelerator Beamline Tuning. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2000, pp:372-379 [Conf]
  4. Daniel Pless, George F. Luger, Carl R. Stern
    A New Object-Oriented Stochastic Modeling Language. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Soft Computing, 2000, pp:253-258 [Conf]
  5. Alan Bundy, George F. Luger, Chris Mellish, Martha Stone Palmer
    Knowledge about Knowledge: Making Decisions in Mechanics Probleme Solving. [Citation Graph (0, 0)][DBLP]
    AISB/GI (ECAI), 1978, pp:71-81 [Conf]
  6. Alan Bundy, George F. Luger, M. Stone, R. Welham
    MECHNO, Year one. [Citation Graph (0, 0)][DBLP]
    AISB (ECAI), 1976, pp:94-103 [Conf]
  7. Chayan Chakrabarti, Roshan Rammohan, George F. Luger
    A First-Order Stochastic Modeling Language for Diagnosis. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:623-628 [Conf]
  8. Chayan Chakrabarti, Roshan Rammohan, George F. Luger
    A First-Order Stochastic Prognostic System for the Diagnosis of Helicopter Rotor Systems for the US Navy. [Citation Graph (0, 0)][DBLP]
    IICAI, 2005, pp:3645-3656 [Conf]
  9. George F. Luger, Alan Bundy
    Representing Semantic Information In Pulley Problems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1977, pp:500- [Conf]
  10. George F. Luger, G. Goldin
    Problem Structure And Problem Solving Behavior. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1975, pp:924-931 [Conf]
  11. James M. Skinner, George F. Luger
    An Architecture for Integrating Reasoning Paradigms. [Citation Graph (0, 0)][DBLP]
    KR, 1992, pp:753-761 [Conf]
  12. Daniel Pless, George F. Luger
    Toward General Analysis of Recursive Probability Models. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:429-436 [Conf]
  13. Chayan Chakrabarti, Roshan Rammohan, George F. Luger
    Diagnosis using a first-order stochastic language that learns. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:3, pp:832-840 [Journal]
  14. Daniel Pless, Chayan Chakrabarti, Roshan Rammohan, George F. Luger
    The Design and Testing of a First-order Logic-based Stochastic Modeling Language. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2006, v:15, n:6, pp:979-1006 [Journal]
  15. William B. Klein, Robert T. Westervelt, George F. Luger
    Developing a general purpose intelligent control system for particle accelerators. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 1999, v:7, n:1, pp:1-12 [Journal]
  16. Nikita A. Sakhanenko, George F. Luger, Carl R. Stern
    Managing Dynamic Contexts Using Failure-Driven Stochastic Models. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2007, pp:466-471 [Conf]
  17. Nikita A. Sakhanenko, George F. Luger, Hanna E. Makaruk, David B. Holtkamp
    Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  18. Kanglin Xu, George F. Luger
    The model for optimal design of robot vision systems based on kinematic error correction. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:7, pp:1185-1193 [Journal]

  19. A New Approach to Model-Based Diagnosis Using Probabilistic Logic. [Citation Graph (, )][DBLP]


  20. A Context-Partitioned Stochastic Modeling System with Causally Informed Context Management and Model Induction. [Citation Graph (, )][DBLP]


  21. Diagnosis and Prognosis: From Rule-Based Systems to First-Order Graphical Models. [Citation Graph (, )][DBLP]


  22. Satisficing the Masses: Applying Game Theory to Large-Scale, Democratic Decision Problems. [Citation Graph (, )][DBLP]


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