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Volumn , Issue , 2014, Pages 102-111

Approximate decentralized Bayesian inference

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFERENCE ENGINES; INTELLIGENT AGENTS;

EID: 84923274988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (21)
  • 3
    • 0020702726 scopus 로고
    • A finite algorithm for concave minimization over a polyhedron
    • H. P. Benson. A finite algorithm for concave minimization over a polyhedron. Naval Research Logistics Quarterly, 32(1):165-177, 1985.
    • (1985) Naval Research Logistics Quarterly , vol.32 , Issue.1 , pp. 165-177
    • Benson, H.P.1
  • 7
    • 0022819169 scopus 로고
    • Concave minimization via collapsing polytopes
    • J. E. Falk and K. L. Hoffman. Concave minimization via collapsing polytopes. Operations Research, 34(6):919-929, 1986.
    • (1986) Operations Research , vol.34 , Issue.6 , pp. 919-929
    • Falk, J.E.1    Hoffman, K.L.2
  • 8
    • 84856216833 scopus 로고    scopus 로고
    • A hyperparameter consensus method for agreement under uncertainty
    • C. S. Fraser, L. F. Bertuccelli, H.-L. Choi, and J. P. How. A hyperparameter consensus method for agreement under uncertainty. Automatica, 48:374-380, 2012.
    • (2012) Automatica , vol.48 , pp. 374-380
    • Fraser, C.S.1    Bertuccelli, L.F.2    Choi, H.-L.3    How, J.P.4
  • 11
    • 22544479764 scopus 로고    scopus 로고
    • Markov chain monte carlo methods and the label switching problem in bayesian mixture modeling
    • A. Jasra, C. Holmes, and D. Stephens. Markov chain monte carlo methods and the label switching problem in bayesian mixture modeling. Statistical Science, 20(1):50-67, 2005.
    • (2005) Statistical Science , vol.20 , Issue.1 , pp. 50-67
    • Jasra, A.1    Holmes, C.2    Stephens, D.3
  • 12
    • 84899008529 scopus 로고    scopus 로고
    • Online learning of nonparametric mixture models via sequential variational approximation
    • D. Lin. Online learning of nonparametric mixture models via sequential variational approximation. In Advances in Neural Information Processing Systems 26, 2013.
    • (2013) Advances in Neural Information Processing Systems , vol.26
    • Lin, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.