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Volumn 22, Issue , 2012, Pages 337-345

Error bounds for kernel fisher linear discriminant in Gaussian hilbert space

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ERROR ANALYSIS; VECTOR SPACES;

EID: 84908670123     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (22)
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    • Some theory for Fisher's linear discriminant function, 'naive Bayes', and some alternatives when there are many more variables than observations
    • P. Bickel and E. Levina. Some theory for Fisher's linear discriminant function, 'naive Bayes', and some alternatives when there are many more variables than observations. Bernoulli, 10(6):989-1010, 2004.
    • (2004) Bernoulli , vol.10 , Issue.6 , pp. 989-1010
    • Bickel, P.1    Levina, E.2
  • 2
    • 0033347059 scopus 로고    scopus 로고
    • Misclassification probability bounds for multivariate Gaussian classes
    • T. Pattison and D. Gossink. Misclassification Probability Bounds for Multivariate Gaussian Classes. Digital Signal Processing, 9:280-296, 1999.
    • (1999) Digital Signal Processing , vol.9 , pp. 280-296
    • Pattison, T.1    Gossink, D.2
  • 6
    • 0001493668 scopus 로고
    • Asymptotics of graphical projection pursuit
    • P. Diaconis and D. Freedman. Asymptotics of graphical projection pursuit. The Annals of Statistics, 12(3):793-815, 1984.
    • (1984) The Annals of Statistics , vol.12 , Issue.3 , pp. 793-815
    • Diaconis, P.1    Freedman, D.2
  • 7
    • 38149136576 scopus 로고    scopus 로고
    • A Hilbert space embedding for distributions
    • M. Hutter, R. Servedio, and E. Takimoto, editors. Springer Berlin / Heidelberg
    • A. Smola, A. Gretton, L. Song, and B. Scholkopf. A Hilbert space embedding for distributions. In M. Hutter, R. Servedio, and E. Takimoto, editors, Algorithmic Learning Theory, volume 4754 of Lecture Notes in Computer Science, pages 1331. Springer Berlin / Heidelberg, 2007.
    • (2007) Algorithmic Learning Theory of Lecture Notes in Computer Science , vol.4754 , pp. 13-31
    • Smola, A.1    Gretton, A.2    Song, L.3    Scholkopf, B.4
  • 13
    • 0034287154 scopus 로고    scopus 로고
    • Adaptive estimation of a quadratic functional by model selection
    • B. Laurent and P. Massart. Adaptive estimation of a quadratic functional by model selection. Annals of Statistics, 28(5):1302-1338, 2000.
    • (2000) Annals of Statistics , vol.28 , Issue.5 , pp. 1302-1338
    • Laurent, B.1    Massart, P.2
  • 19
    • 33646337913 scopus 로고    scopus 로고
    • Optimising kernel parameters and regularisation coefficients for non-linear discriminant analysis
    • T.P. Centeno and N.D. Lawrence. Optimising kernel parameters and regularisation coefficients for non-linear discriminant analysis. The Journal of Machine Learning Research, 7:455-491, 2006.
    • (2006) The Journal of Machine Learning Research , vol.7 , pp. 455-491
    • Centeno, T.P.1    Lawrence, N.D.2
  • 20
    • 0242511222 scopus 로고    scopus 로고
    • Singular Wishart and multivari-ate beta distributions
    • M.S. Srivastava. Singular Wishart and multivari-ate beta distributions. Annals ofStatistics, pages 1537-1560, 2003.
    • (2003) Annals OfStatistics , pp. 1537-1560
    • Srivastava, M.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.