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Volumn 3339, Issue , 2004, Pages 307-318

A learning-based algorithm selection meta-reasoner for the real-time MPE problem

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DECISION SUPPORT SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 22944472703     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30549-1_28     Document Type: Conference Paper
Times cited : (10)

References (19)
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    • Abdelbar, A.M.1    Hedetniemi, S.M.2
  • 2
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    • Breese, J. S., Horvitz, E.: Ideal reformulation of belief networks. In UAI90. (1990) 129-144
    • (1990) UAI90 , pp. 129-144
    • Breese, J.S.1    Horvitz, E.2
  • 3
    • 0039223218 scopus 로고
    • Weighting and integrating evidence for stochastic simulation in Bayesian networks
    • Fung, R., Chang, K. C.: Weighting and integrating evidence for stochastic simulation in Bayesian networks. In UAI89. (1989) 209-219
    • (1989) UAI89 , pp. 209-219
    • Fung, R.1    Chang, K.C.2
  • 4
    • 0004215426 scopus 로고    scopus 로고
    • Kluwer Academic Publishers, Boston
    • Glover, F., Laguna, M.: Tabu search. Kluwer Academic Publishers, Boston. (1997)
    • (1997) Tabu Search
    • Glover, F.1    Laguna, M.2
  • 5
    • 0001836740 scopus 로고    scopus 로고
    • Algorithm portfolio design: Theory vs. practice
    • Gomes, C. P., Selman, B.: Algorithm portfolio design: theory vs. practice. In UAI97. (1997) 190-197
    • (1997) UAI97 , pp. 190-197
    • Gomes, C.P.1    Selman, B.2
  • 8
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    • A Bayesian approach to tackling hard computational problems
    • Horvitz, E., Ruan, Y., Kautz, H., Selman, B., Chickering, D. M.: A Bayesian approach to tackling hard computational problems. In UAI01. (2001) 235-244
    • (2001) UAI01 , pp. 235-244
    • Horvitz, E.1    Ruan, Y.2    Kautz, H.3    Selman, B.4    Chickering, D.M.5
  • 10
    • 22944445652 scopus 로고    scopus 로고
    • Belief network algorithms: A study of performance based on domain characterization
    • Springer-Verlag
    • Jitnah, N., Nicholson, A. E.,: Belief network algorithms: A study of performance based on domain characterization. In Learning and Reasoning with Complex Representations. 1359 Springer-Verlag (1998) 169-188
    • (1998) Learning and Reasoning with Complex Representations , vol.1359 , pp. 169-188
    • Jitnah, N.1    Nicholson, A.E.2
  • 12
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen, S. L., Spiegelhalter, D. J.: Local computations with probabilities on graphical structures and their application to expert systems (with discussion). J. Royal Statist. Soc. Series B 50 (1988) 157-224
    • (1988) J. Royal Statist. Soc. Series B , vol.50 , pp. 157-224
    • Lauritzen, S.L.1    Spiegelhalter, D.J.2
  • 14
    • 0003056605 scopus 로고
    • The algorithm selection problem
    • M. V. Zelkowitz, editors
    • Rice, J. R.: The algorithm selection problem. In M. V. Zelkowitz, editors, Advances in computers. 15 (1976) 65-118
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    • Rice, J.R.1
  • 15
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    • Finding MAPs for belief networks is NP-hard
    • Shimony, S. E.: Finding MAPs for belief networks is NP-hard. Artificial Intelligence. 68 (1994) 399-410
    • (1994) Artificial Intelligence , vol.68 , pp. 399-410
    • Shimony, S.E.1
  • 16
    • 0242365710 scopus 로고    scopus 로고
    • Complexity of probabilistic reasoning in directed-path singly connected Bayes networks
    • Shimony, S. E., Domshlak, C.: Complexity of probabilistic reasoning in directed-path singly connected Bayes networks. Artificial Intelligence. 151 (2003) 213-225
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.