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Volumn 6, Issue , 2005, Pages

Semigroup kernels on measures

Author keywords

Generalized variance; Jensen divergence; Kernels on measures; Reproducing kernel Hilbert space; Semigroup theory

Indexed keywords

GRAPH THEORY; MULTIMEDIA SYSTEMS; REGRESSION ANALYSIS;

EID: 23244459499     PISSN: 15337928     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (51)

References (28)
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    • The context-tree kernel for strings
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  • 7
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    • Semigroup kernels on finite sets
    • Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors. MIT Press, Cambridge, MA
    • Marco Cuturi and Jean-Philippe Vert. Semigroup kernels on finite sets. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 329-336. MIT Press, Cambridge, MA, 2005.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 329-336
    • Cuturi, M.1    Vert, J.-P.2
  • 11
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    • Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
    • Kenji Fukumizu, Francis Bach, and Michael Jordan. Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. Journal of Machine Learning Research, 5:73-99, 2004.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 73-99
    • Fukumizu, K.1    Bach, F.2    Jordan, M.3
  • 17
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    • Information diffusion kernels
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Cambridge, MA. MIT Press
    • John Lafferty and Guy Lebanon. Information diffusion kernels. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, Cambridge, MA, 2002. MIT Press.
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    • Lafferty, J.1    Lebanon, G.2
  • 18
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    • The spectrum kernel: A string kernel for svm protein classific ation
    • World Scientific
    • Christina Leslie, Eleazar Eskin, and William Stafford Noble. The spectrum kernel: a string kernel for svm protein classific ation. In Proceedings of the Pacific Symposium on Biocomputing 2002, pages 564-575. World Scientific, 2002.
    • (2002) Proceedings of the Pacific Symposium on Biocomputing 2002 , pp. 564-575
    • Leslie, C.1    Eskin, E.2    Noble, W.S.3
  • 19
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    • Mismatch string kernels for svm protein classification
    • Suzanna Becker, Sebastian Thrun, and Klaus Obermayer, editors, Cambridge, MA. MIT Press
    • Christina Leslie, Eleazar Eskin, Jason Weston, and William Stafford Noble. Mismatch string kernels for svm protein classification. In Suzanna Becker, Sebastian Thrun, and Klaus Obermayer, editors, Advances in Neural Information Processing Systems 15, Cambridge, MA, 2003. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Leslie, C.1    Eskin, E.2    Weston, J.3    Noble, W.S.4
  • 21
    • 84899001695 scopus 로고    scopus 로고
    • A kullback-leibler divergence based kernel for svm classification in multimedia applications
    • Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors, MIT Press, Cambridge, MA
    • Pedro J. Moreno, Purdy P. Ho, and Nuno Vasconcelos. A kullback-leibler divergence based kernel for svm classification in multimedia applications. In Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16
    • Moreno, P.J.1    Ho, P.P.2    Vasconcelos, N.3
  • 22
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    • A new class of metric divergences on probability spaces and its applicability in statistics
    • Ferdinand Österreicher and Igor Vajda. A new class of metric divergences on probability spaces and its applicability in statistics. Annals of the Institute of Statistical Mathematics, 55:639-653, 2003.
    • (2003) Annals of the Institute of Statistical Mathematics , vol.55 , pp. 639-653
    • Österreicher, F.1    Vajda, I.2
  • 23
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    • Differential metrics in probability spaces
    • S.-I. Amari, O.E. Barndorff-Nielsen, R.E. Kass, S.L. Lauritzen, and C.R. Rao, editors, Hayward.CA. Institute of Mathematical Statistics
    • C. R. Rao. Differential metrics in probability spaces. In S.-I. Amari, O.E. Barndorff-Nielsen, R.E. Kass, S.L. Lauritzen, and C.R. Rao, editors, Differential Geometry in Statistical Inference, Hayward.CA, 1987. Institute of Mathematical Statistics.
    • (1987) Differential Geometry in Statistical Inference
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    • Covariance kernels from bayesian generative models
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Cambridge, MA. MIT Press
    • Matthias Seeger. Covariance kernels from bayesian generative models. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 905-912, Cambridge, MA, 2002. MIT Press.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 905-912
    • Seeger, M.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.