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Armand Prieditis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jack Mostow, Armand Prieditis
    Discovering Admissible Heuristics by Abstracting and Optimizing: A Transformational Approach. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1989, pp:701-707 [Conf]
  2. Armand Prieditis
    Machine Discovery of Effective Admissible Heuristics. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1993, v:12, n:, pp:117-141 [Journal]
  3. Armand Prieditis, Bhaskar Janakiraman
    Generating Effective Admissible Heuristics by Abstraction and Reconstitution. [Citation Graph (0, 0)][DBLP]
    AAAI, 1993, pp:743-748 [Conf]
  4. Armand Prieditis, Jack Mostow
    PROLEARN: Towards a Prolog Interpreter that Learns. [Citation Graph (0, 0)][DBLP]
    AAAI, 1987, pp:494-498 [Conf]
  5. Jack Mostow, Armand Prieditis
    Discovering Admissible Search Heuristics by Abstracting and Optimizing. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:240-240 [Conf]
  6. Armand Prieditis
    Machine Discovery of Effective Admissible Heuristics. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1991, pp:720-725 [Conf]
  7. Armand Prieditis, Robert Davis
    Quantitatively Relating Abstractness to the Accuracy of Admissible Heuristics. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1995, v:74, n:1, pp:165-175 [Journal]
  8. Armand Prieditis
    Depth-First Branch-and-Bound vs. Depth-Bounded IDA*. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1998, v:14, n:, pp:188-206 [Journal]
  9. Robert Davis, Armand Prieditis
    The Expected Length of a Shortest Path. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1993, v:46, n:3, pp:135-141 [Journal]
  10. Armand Prieditis
    Adding upper-bound pruning to IDA*. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 1997, v:9, n:1, pp:67-81 [Journal]
  11. Armand Prieditis, Evan Fletcher
    Two-agent IDA*. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 1998, v:10, n:4, pp:451-485 [Journal]
  12. Robert Davis, Armand Prieditis
    Designing Optimal Sequential Experiments for a Bayesian Classifier. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1999, v:21, n:3, pp:193-201 [Journal]

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