13 found
Order:
  1.  6
    Learning by understanding analogies.Russell Greiner - 1988 - Artificial Intelligence 35 (1):81-125.
  2.  11
    A correction to the algorithm in reiter's theory of diagnosis.Russell Greiner, Barbara A. Smith & Ralph W. Wilkerson - 1989 - Artificial Intelligence 41 (1):79-88.
  3.  4
    Probably approximately optimal satisficing strategies.Russell Greiner & Pekka Orponen - 1996 - Artificial Intelligence 82 (1-2):21-44.
  4.  5
    Finding optimal derivation strategies in redundant knowledge bases.Russell Greiner - 1991 - Artificial Intelligence 50 (1):95-115.
  5.  5
    Knowing what doesn't matter: exploiting the omission of irrelevant data.Russell Greiner, Adam J. Grove & Alexander Kogan - 1997 - Artificial Intelligence 97 (1-2):345-380.
  6.  10
    Learning Bayesian networks from data: An information-theory based approach.Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell & Weiru Liu - 2002 - Artificial Intelligence 137 (1-2):43-90.
  7.  5
    The complexity of theory revision.Russell Greiner - 1999 - Artificial Intelligence 107 (2):175-217.
  8.  10
    The relevance of relevance.Devika Subramanian, Russell Greiner & Judea Pearl - 1997 - Artificial Intelligence 97 (1-2):1-5.
  9.  8
    Building large knowledge-based systems: Representation and inference in the cyc project.Charles Elkan & Russell Greiner - 1993 - Artificial Intelligence 61 (1):41-52.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  10.  4
    Finding optimal satisficing strategies for and-or trees.Russell Greiner, Ryan Hayward, Magdalena Jankowska & Michael Molloy - 2006 - Artificial Intelligence 170 (1):19-58.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  11.  2
    Learning cost-sensitive active classifiers☆☆This extends the short conference paper [19].Russell Greiner, Adam J. Grove & Dan Roth - 2002 - Artificial Intelligence 139 (2):137-174.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  12.  7
    PALO: a probabilistic hill-climbing algorithm.Russell Greiner - 1996 - Artificial Intelligence 84 (1-2):177-208.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  13.  11
    Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference.Tim Van Allen, Ajit Singh, Russell Greiner & Peter Hooper - 2008 - Artificial Intelligence 172 (4-5):483-513.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation