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Volumn , Issue , 2013, Pages

Stochastic optimization of PCA with capped MSG

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; STOCHASTIC SYSTEMS;

EID: 84898944356     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (78)

References (17)
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    • Beck, A.1    Teboulle, M.2
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    • Bottou, Leon and Bousquet, Olivier. The tradeoffs of large scale learning. In NIPS'07, pp. 161-168, 2007.
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    • Incremental singular value decomposition of uncertain data with missing values
    • Brand, Matthew. Incremental singular value decomposition of uncertain data with missing values. In ECCV, 2002.
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    • Brand, M.1
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    • Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
    • June
    • Collins, Michael, Globerson, Amir, Koo, Terry, Carreras, Xavier, and Bartlett, Peter L. Exponentiated gradient algorithms for conditional random fields and max-margin markov networks. J. Mach. Learn. Res., 9:1775-1822, June 2008.
    • (2008) J. Mach. Learn. Res. , vol.9 , pp. 1775-1822
    • Collins, M.1    Globerson, A.2    Koo, T.3    Carreras, X.4    Bartlett, P.L.5
  • 10
    • 70450197241 scopus 로고    scopus 로고
    • Robust stochastic approximation approach to stochastic programming
    • January
    • Nemirovski, Arkadi, Juditsky, Anatoli, Lan, Guanghui, and Shapiro, Alexander. Robust stochastic approximation approach to stochastic programming. SIAM Journal on Optimization, 19(4):1574-1609, January 2009.
    • (2009) SIAM Journal on Optimization , vol.19 , Issue.4 , pp. 1574-1609
    • Nemirovski, A.1    Juditsky, A.2    Lan, G.3    Shapiro, A.4
  • 11
    • 0022013023 scopus 로고
    • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
    • Oja, Erkki and Karhunen, Juha. On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix. Journal of Mathematical Analysis and Applications, 106: 69-84, 1985.
    • (1985) Journal of Mathematical Analysis and Applications , vol.106 , pp. 69-84
    • Oja, E.1    Karhunen, J.2
  • 12
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • Sanger, Terence D. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks, 12:459-473, 1989.
    • (1989) Neural Networks , vol.12 , pp. 459-473
    • Sanger, T.D.1
  • 13
    • 56449110590 scopus 로고    scopus 로고
    • SVM optimization: Inverse dependence on training set size
    • Shalev-Shwartz, Shai and Srebro, Nathan. SVM optimization: Inverse dependence on training set size. In ICML'08, pp. 928-935, 2008.
    • (2008) ICML'08 , pp. 928-935
    • Shai, S.-S.1    Srebro, N.2
  • 15
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    • Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
    • Shalev-Shwartz, Shai, Singer, Yoram, and Srebro, Nathan. Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In ICML'07, pp. 807-814, 2007.
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    • Shai, S.-S.1    Singer, Y.2    Srebro, N.3
  • 17
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    • Randomized online PCA algorithms with regret bounds that are logarithmic in the dimension
    • Warmuth, Manfred K. and Kuzmin, Dima. Randomized online PCA algorithms with regret bounds that are logarithmic in the dimension. Journal of Machine Learning Research (JMLR), 9:2287-2320, 2008.
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    • Warmuth, M.K.1    Dima, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.