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Volumn 3, Issue , 2012, Pages 1907-1915

Slice normalized dynamic Markov logic networks

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; DISCRIMINATIVE MODELS; MARGINAL PROBABILITY; MARKOV LOGIC NETWORKS; MARKOV RANDOM FIELDS; NORMALIZATION FACTORS; STATISTICAL RELATIONAL LEARNING; TRAINING AND TESTING;

EID: 84877734962     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (19)
  • 3
    • 84866857141 scopus 로고    scopus 로고
    • Machine reading using markov logic networks for collective probabilistic inference
    • Shalini Ghosh, Natarajan Shankar, and Sam Owre. Machine reading using markov logic networks for collective probabilistic inference. In In Proceedings of ECML-CoLISD., 2011.
    • (2011) Proceedings of ECML-CoLISD
    • Ghosh, S.1    Shankar, N.2    Owre, S.3
  • 4
    • 78650935812 scopus 로고    scopus 로고
    • Samplesearch: Importance sampling in presence of determinism
    • Vibhav Gogate and Rina Dechter. Samplesearch: Importance sampling in presence of determinism. Artif. Intell., 175(2):694-729, 2011.
    • (2011) Artif. Intell. , vol.175 , Issue.2 , pp. 694-729
    • Gogate, V.1    Dechter, R.2
  • 6
    • 77956022649 scopus 로고    scopus 로고
    • Adaptive Markov logic networks: Learning statistical relational models with dynamic parameters
    • Dominik Jain, Andreas Barthels, and Michael Beetz. Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters. In 19th European Conference on Artificial Intelligence (ECAI), pages 937-942, 2010.
    • (2010) 19th European Conference on Artificial Intelligence (ECAI) , pp. 937-942
    • Jain, D.1    Barthels, A.2    Beetz, M.3
  • 16
    • 0031269904 scopus 로고    scopus 로고
    • Stochastic approximation algorithms for partition function estimation of Gibbs random fields
    • G. Potamianos and J. Goutsias. Stochastic approximation algorithms for partition function estimation of Gibbs random fields. IEEE Transactions on Information Theory, 43(6):1948-1965, 1997.
    • (1997) IEEE Transactions on Information Theory , vol.43 , Issue.6 , pp. 1948-1965
    • Potamianos, G.1    Goutsias, J.2
  • 19
    • 33947615175 scopus 로고    scopus 로고
    • Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
    • May
    • Charles Sutton, Andrew McCallum, and Khashayar Rohanimanesh. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. J. Mach. Learn. Res., 8:693-723, May 2007.
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 693-723
    • Sutton, C.1    McCallum, A.2    Rohanimanesh, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.