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Volumn 5590 LNAI, Issue , 2009, Pages 240-251

Maximum likelihood learning of conditional MTE distributions

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL DENSITY; EXPRESSIVE POWER; LEARNING PROCEDURES; MAXIMUM LIKELIHOOD LEARNING; MIXTURES OF TRUNCATED EXPONENTIALS; MODEL SELECTION;

EID: 69049092113     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02906-6_22     Document Type: Conference Paper
Times cited : (15)

References (12)
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    • Axioms for probability and belief function propagation
    • Shachter, R, Levitt, T, Lemmer, J, Kanal, L, eds, North Holland, Amsterdam
    • Shenoy, P., Shafer, G.: Axioms for probability and belief function propagation. In: Shachter, R., Levitt, T., Lemmer, J., Kanal, L. (eds.) Uncertainty in Artificial Intelligence, vol. 4, pp. 169-198. North Holland, Amsterdam (1990)
    • (1990) Uncertainty in Artificial Intelligence , vol.4 , pp. 169-198
    • Shenoy, P.1    Shafer, G.2
  • 3
    • 0002486232 scopus 로고    scopus 로고
    • Nonuniform dynamic discretization in hybrid networks
    • Geiger, D, Shenoy, P, eds, Morgan & Kaufmann, San Francisco
    • Kozlov, D., Koller, D.: Nonuniform dynamic discretization in hybrid networks. In: Geiger, D., Shenoy, P. (eds.) Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence, pp. 302-313. Morgan & Kaufmann, San Francisco (1997)
    • (1997) Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence , pp. 302-313
    • Kozlov, D.1    Koller, D.2
  • 4
    • 84937428461 scopus 로고    scopus 로고
    • Mixtures of truncated exponentials in hybrid Bayesian networks
    • Benferhat, S, Besnard, P, eds, ECSQARU 2001, Springer, Heidelberg
    • Moral, S., Rumí, R., Salmerón, A.: Mixtures of truncated exponentials in hybrid Bayesian networks. In: Benferhat, S., Besnard, P. (eds.) ECSQARU 2001. LNCS, vol. 2143, pp. 156-167. Springer, Heidelberg (2001)
    • (2001) LNCS , vol.2143 , pp. 156-167
    • Moral, S.1    Rumí, R.2    Salmerón, A.3
  • 5
    • 33745634852 scopus 로고    scopus 로고
    • Approximating probability density functions with mixtures of truncated exponentials
    • Cobb, B., Shenoy, P., Rumí, R.: Approximating probability density functions with mixtures of truncated exponentials. Statistics and Computing 16, 293-308 (2006)
    • (2006) Statistics and Computing , vol.16 , pp. 293-308
    • Cobb, B.1    Shenoy, P.2    Rumí, R.3
  • 6
    • 33845681995 scopus 로고    scopus 로고
    • Estimating mixtures of truncated exponentials in hybrid Bayesian network
    • Rumí, R., Salmerón, A., Moral, S.: Estimating mixtures of truncated exponentials in hybrid Bayesian network. Test 15, 397-421 (2006)
    • (2006) Test , vol.15 , pp. 397-421
    • Rumí, R.1    Salmerón, A.2    Moral, S.3
  • 8
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G.: Estimating the dimension of a model. Annals of Statistics 6, 461-464 (1978)
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 10
    • 8344270207 scopus 로고    scopus 로고
    • Approximating conditional MTE distributions by means of mixed trees
    • Nielsen, T.D, Zhang, N.L, eds, ECSQARU 2003, Springer, Heidelberg
    • Moral, S., Rumí, R., Salmerón, A.: Approximating conditional MTE distributions by means of mixed trees. In: Nielsen, T.D., Zhang, N.L. (eds.) ECSQARU 2003. LNCS, vol. 2711, pp. 173-183. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2711 , pp. 173-183
    • Moral, S.1    Rumí, R.2    Salmerón, A.3
  • 11
    • 0000049635 scopus 로고    scopus 로고
    • Exploiting causal independence in Bayesian network inference
    • Zhang, N., Poole, D.: Exploiting causal independence in Bayesian network inference. Journal of Artificial Intelligence Research 5, 301-328 (1996)
    • (1996) Journal of Artificial Intelligence Research , vol.5 , pp. 301-328
    • Zhang, N.1    Poole, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.