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Volumn 3120, Issue , 2004, Pages 186-199

Inferring mixtures of Markov chains

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATA THEORY; FUNCTIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; PROBLEM SOLVING; SWITCHING THEORY; CHAINS; INTRUSION DETECTION; MIXTURES;

EID: 9444245364     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-27819-1_13     Document Type: Conference Paper
Times cited : (29)

References (18)
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  • 4
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    • Input-output HMM's for sequence processing
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    • Y. Bengio and P. Frasconi. Input-output HMM's for sequence processing. IEEE Transactions on Neural Networks, 7(5):1231-1249, September 1996.
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    • Bengio, Y.1    Frasconi, P.2
  • 5
    • 0031586003 scopus 로고    scopus 로고
    • Finding the genes in genomic dna
    • C.B. Burge and S. Karlin. Finding the genes in genomic dna. J. Mol. Bio., 268:78-94, 1997.
    • (1997) J. Mol. Bio. , vol.268 , pp. 78-94
    • Burge, C.B.1    Karlin, S.2
  • 6
    • 24944559872 scopus 로고    scopus 로고
    • Learning mixtures of gaussians
    • University of California, Berkeley, May 19
    • Sanjoy Dasgupta. Learning mixtures of gaussians. Technical Report CSD-99-1047, University of California, Berkeley, May 19, 1999.
    • (1999) Technical Report , vol.CSD-99-1047
    • Dasgupta, S.1
  • 11
    • 0032075591 scopus 로고    scopus 로고
    • A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes
    • Charles Kervrann and Fabrice Heitz. A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes. Graphical models and image processing: GMIP, 60(3): 173-195, 1998.
    • (1998) Graphical Models and Image Processing: GMIP , vol.60 , Issue.3 , pp. 173-195
    • Kervrann, C.1    Heitz, F.2
  • 12
    • 0032676506 scopus 로고    scopus 로고
    • A data mining framework for building intrusion detection models
    • Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok. A data mining framework for building intrusion detection models. In IEEE Symposium on Security and Privacy, pages 120-132, 1999.
    • (1999) IEEE Symposium on Security and Privacy , pp. 120-132
    • Lee, W.1    Stolfo, S.J.2    Mok, K.W.3
  • 13
    • 0034172499 scopus 로고    scopus 로고
    • Intelligent internet systems
    • Alon Y. Levy and Daniel S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2):1-14, 2000.
    • (2000) Artificial Intelligence , vol.118 , Issue.1-2 , pp. 1-14
    • Levy, A.Y.1    Weld, D.S.2
  • 14
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Lawrence R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2), 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2
    • Rabiner, L.R.1
  • 15
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    • Verification of relational transducers for electronic commerce
    • Marc Spielmann. Verification of relational transducers for electronic commerce. In Symposium on Principles of Database Systems, pages 92-103, 2000.
    • (2000) Symposium on Principles of Database Systems , pp. 92-103
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  • 16
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    • Learning mixtures of Bayesian networks
    • Microsoft Research, Redmond, WA
    • B. Thiesson, C. Meek, D. Chickering, and D. Hecker man. Learning mixtures of Bayesian networks. Technical Report MSR-TR-97-30, Microsoft Research, Redmond, WA, 1997.
    • (1997) Technical Report , vol.MSR-TR-97-30
    • Thiesson, B.1    Meek, C.2    Chickering, D.3    Man, D.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.