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Armand Prieditis Vis

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

Coauthor Index

1Robert Davis [6] [8] [12]
2Evan Fletcher [10]
3Bhaskar Janakiraman [7]
4Jack Mostow [1] [2] [3]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)