메뉴 건너뛰기




Volumn 5, Issue , 2004, Pages 819-844

Probability product kernels

Author keywords

Bhattacharyya affinity; Dynamical systems; Expected likelihood; Exponential family; Generative models; Graphical models; Hellinger divergence; Hidden Markov models; Kernels; Kullback leibler divergence; Latent models; Mean field; Support vector machines

Indexed keywords

ALGORITHMS; DYNAMICAL SYSTEMS; LINEAR CONTROL SYSTEMS; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; SUPPORT VECTOR MACHINES;

EID: 18544365764     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (435)

References (35)
  • 1
    • 0030242097 scopus 로고    scopus 로고
    • Input-output HMM's for sequence processing
    • September
    • Y. Bengio and P. Frasconi. Input-output HMM's for sequence processing. IEEE Transactions on Neural Networks, 7(5):1231-1249, September 1996.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.5 , pp. 1231-1249
    • Bengio, Y.1    Frasconi, P.2
  • 2
    • 0002215069 scopus 로고
    • On a measure of divergence between two statistical populations defined by their probability distributions
    • A. Bhattacharyya. On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math Soc., 1943.
    • (1943) Bull. Calcutta Math Soc.
    • Bhattacharyya, A.1
  • 7
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • Z. Ghahramani and M. Jordan. Factorial hidden Markov models. Machine Learning, 29:245-273, 1997.
    • (1997) Machine Learning , vol.29 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.2
  • 21
    • 84899001695 scopus 로고    scopus 로고
    • A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications
    • P. J. Moreno, P. P. Ho, and N. Vasconcelos. A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications. In Neural Information Processing Systems, 2004.
    • (2004) Neural Information Processing Systems
    • Moreno, P.J.1    Ho, P.P.2    Vasconcelos, N.3
  • 26
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. Burges, and A. Smola, editors, MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. MIT Press, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Platt, J.1
  • 29
    • 84986753417 scopus 로고
    • An approach to time series smoothing and forecasting using the EM algorithm
    • R. H. Shumway and D. S. Stoffer. An approach to time series smoothing and forecasting using the EM algorithm. J. of Time Series Analysis, 3(4):253-264, 1982.
    • (1982) J. of Time Series Analysis , vol.3 , Issue.4 , pp. 253-264
    • Shumway, R.H.1    Stoffer, D.S.2
  • 31
    • 0002244395 scopus 로고    scopus 로고
    • Some inequalities for information divergence and related measures of discrimination
    • F. Topsoe. Some inequalities for information divergence and related measures of discrimination. J. of Inequalities in Pure and Applied Mathematics, 2(1), 1999.
    • J. of Inequalities in Pure and Applied Mathematics , vol.2 , Issue.1 , pp. 1999
    • Topsoe, F.1
  • 32
    • 1642338802 scopus 로고    scopus 로고
    • Marginalized kernels for biological sequences
    • 90001
    • K. Tsuda, T. Kin, and K. Asai. Marginalized kernels for biological sequences. Bioinformatics, 18(90001):S268-S275, 2002.
    • (2002) Bioinformatics , vol.18 , pp. S268-S275
    • Tsuda, K.1    Kin, T.2    Asai, K.3
  • 35
    • 9444227955 scopus 로고    scopus 로고
    • chapter Dynamic Alignment Kernels. MIT Press
    • C. Watkins. Advances in kernel methods, chapter Dynamic Alignment Kernels. MIT Press, 2000.
    • (2000) Advances in Kernel Methods
    • Watkins, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.