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Volumn 3720 LNAI, Issue , 2005, Pages 255-267

A kernel between unordered sets of data: The Gaussian mixture approach

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; LEARNING ALGORITHMS; PERFORMANCE;

EID: 33646395390     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564096_27     Document Type: Conference Paper
Times cited : (9)

References (21)
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    • UC Berkeley
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    • (1997) Technical Report , vol.ICSI-TR-97-021
    • Bilmes, J.1
  • 5
    • 33646396908 scopus 로고    scopus 로고
    • Hilbertian metrics and positive definite kernels on probability measures
    • MPI for Biological Cybernetics
    • M. Hein and O. Bousquet. Hilbertian metrics and positive definite kernels on probability measures. Technical report, MPI for Biological Cybernetics, 2004.
    • (2004) Technical Report
    • Hein, M.1    Bousquet, O.2
  • 12
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • November
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 13
    • 33646403956 scopus 로고    scopus 로고
    • Kernel between sets: The gaussian mixture approach
    • Computer Science Department, Dartmouth College
    • S. Lyu. Kernel between sets: the gaussian mixture approach. Technical Report TR2005-214, Computer Science Department, Dartmouth College, 2005.
    • (2005) Technical Report , vol.TR2005-214
    • Lyu, S.1
  • 16
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • E. Parzen. On estimation of a probability density function and mode. Ann. Math. Statistics, 33:1,065-1,076, 1962.
    • (1962) Ann. Math. Statistics , vol.33
    • Parzen, E.1
  • 17
    • 34047146553 scopus 로고    scopus 로고
    • Department of Computer Science, U. Toronto
    • S. Roweis. Gaussian Identities. Department of Computer Science, U. Toronto, Manuscript available at http://www.cs.toronto.edu/roweis/notes.html, 2001.
    • (2001) Gaussian Identities
    • Roweis, S.1
  • 19
    • 0242679438 scopus 로고    scopus 로고
    • Finding the number of clusters in a dataset: An information-theoretic approach
    • C.A. Sugar and G.M. James. Finding the number of clusters in a dataset: An information-theoretic approach. Journal of American Statistical Association, 98(463):750-763, 2003.
    • (2003) Journal of American Statistical Association , vol.98 , Issue.463 , pp. 750-763
    • Sugar, C.A.1    James, G.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.