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Volumn 1, Issue , 2012, Pages 10-18

Learning from distributions via support measure machines

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINATIVE LEARNING; KERNEL FUNCTION; KERNEL-BASED LEARNING; PROBABILITY MEASURES; REPRODUCING KERNEL HILBERT SPACES; SUPPORT MEASURE; TRAINING DATA; TRAINING EXAMPLE;

EID: 84877782369     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (170)

References (21)
  • 1
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    • Design issues for cDNA microarray experiments
    • Y. H. Yang and T. Speed. Design issues for cDNA microarray experiments. Nat. Rev. Genet., 3(8):579-588, 2002.
    • (2002) Nat. Rev. Genet. , vol.3 , Issue.8 , pp. 579-588
    • Yang, Y.H.1    Speed, T.2
  • 3
    • 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
  • 12
    • 84877726257 scopus 로고    scopus 로고
    • The representer theorem for hilbert spaces: A necessary and sufficient condition
    • F. Dinuzzo and B. Schölkopf. The representer theorem for Hilbert spaces: a necessary and sufficient condition. In Advances in Neural Information Processing Systems 25, pages 189-196. 2012.
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 189-196
    • Dinuzzo, F.1    Schölkopf, B.2
  • 13
    • 0010786475 scopus 로고    scopus 로고
    • On the influence of the kernel on the consistency of support vector machines
    • I. Steinwart. On the influence of the kernel on the consistency of support vector machines. Journal of Machine Learning Research, 2:67-93, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 67-93
    • Steinwart, I.1
  • 15
    • 84877725802 scopus 로고    scopus 로고
    • Generative and latent mean map kernels
    • abs/1005.0188
    • N. A. Mehta and A. G. Gray. Generative and latent mean map kernels. CoRR, abs/1005.0188, 2010.
    • (2010) CoRR
    • Mehta, N.A.1    Gray, A.G.2
  • 16
    • 85162492909 scopus 로고    scopus 로고
    • Generalizing from several related classification tasks to a new unlabeled sample
    • G. Blanchard, G. Lee, and C. Scott. Generalizing from several related classification tasks to a new unlabeled sample. In Advances in Neural Information Processing Systems 24, pages 2178-2186. 2011.
    • (2011) Advances in Neural Information Processing Systems , vol.24 , pp. 2178-2186
    • Blanchard, G.1    Lee, G.2    Scott, C.3
  • 18
    • 80052243259 scopus 로고    scopus 로고
    • Expected kernel for missing features in support vector machines
    • H.S. Anderson and M.R. Gupta. Expected kernel for missing features in support vector machines. In Statistical Signal Processing Workshop, pages 285-288, 2011.
    • (2011) Statistical Signal Processing Workshop , pp. 285-288
    • Anderson, H.S.1    Gupta, M.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.