메뉴 건너뛰기




Volumn , Issue , 2011, Pages 617-624

Infinite SVM: A dirichlet process mixture of large-margin kernel machines

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NONPARAMETRICS; CLASSIFICATION DATASETS; COMPLEX DATA; DIRICHLET PROCESS MIXTURE; GENERALIZED LINEAR MODEL; KERNEL MACHINE; MULTI-WAY CLASSIFICATION; NON-LINEARITY;

EID: 80053459183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (28)
  • 1
    • 0000708831 scopus 로고
    • Mixture of Dirichlet process with applications to Bayesian nonparametric problems
    • Antoniak, C.E. Mixture of Dirichlet process with applications to Bayesian nonparametric problems. Annals of Stats, (273):1152-1174, 1974.
    • (1974) Annals of Stats , Issue.273 , pp. 1152-1174
    • Antoniak, C.E.1
  • 3
    • 0002617436 scopus 로고
    • Ferguson distributions via polya urn scheme
    • Blackwell, D. & MacQueen, J. Ferguson distributions via polya urn scheme. Annals of Stats, (1):353-355, 1973.
    • (1973) Annals of Stats , Issue.1 , pp. 353-355
    • Blackwell, D.1    MacQueen, J.2
  • 4
    • 84867186048 scopus 로고    scopus 로고
    • Variational inference for Dirichlet process mixtures
    • Blei, D. & Jordan, M. Variational inference for Dirichlet process mixtures. Bayesian Analysis, 1:121-144, 2006.
    • (2006) Bayesian Analysis , vol.1 , pp. 121-144
    • Blei, D.1    Jordan, M.2
  • 5
    • 85161973444 scopus 로고    scopus 로고
    • Predictive subspace learning for multiview data: A large margin approach
    • Chen, N., Zhu, J., & Xing, E. Predictive subspace learning for multiview data: a large margin approach. In NIPS, 2010.
    • (2010) NIPS
    • Chen, N.1    Zhu, J.2    Xing, E.3
  • 6
    • 74049158146 scopus 로고    scopus 로고
    • NUS-WIDE: A real-world web image database from national university of Singapore
    • Chua, T.S., Tang, J., Hong, R., Li, H., Luo, Z., & Zheng, Y. NUS-WIDE: a real-world web image database from national university of Singapore. In CIVR, 2009.
    • (2009) CIVR
    • Chua, T.S.1    Tang, J.2    Hong, R.3    Li, H.4    Luo, Z.5    Zheng, Y.6
  • 7
    • 84899019809 scopus 로고    scopus 로고
    • A parallel mixture of SVMs for very large scale problems
    • Collobert, R., Bengio, S., & Bengio, Y. A parallel mixture of SVMs for very large scale problems. In NIPS, 2002.
    • (2002) NIPS
    • Collobert, R.1    Bengio, S.2    Bengio, Y.3
  • 8
    • 84878240434 scopus 로고    scopus 로고
    • Nonparametric Bayes regression and classification through mixtures of product kernels
    • Dunson, D. & Bhattacharya, A. Nonparametric Bayes regression and classification through mixtures of product kernels. Bayesian Stats, 2010.
    • (2010) Bayesian Stats
    • Dunson, D.1    Bhattacharya, A.2
  • 9
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson, T. A Bayesian analysis of some nonparametric problems. Annals of Stats, (1):209-230, 1973.
    • (1973) Annals of Stats , Issue.1 , pp. 209-230
    • Ferguson, T.1
  • 10
    • 0041494125 scopus 로고    scopus 로고
    • Efficient SVM training using low-rank kernel representations
    • Fine, S. & Scheinberg, K. Efficient SVM training using low-rank kernel representations. JMLR, (2):243-264, 2001.
    • (2001) JMLR , Issue.2 , pp. 243-264
    • Fine, S.1    Scheinberg, K.2
  • 11
    • 78650056777 scopus 로고    scopus 로고
    • Mixing linear SVMs for nonlinear classification
    • Fu, Z., Robles-Kelly, A., & Zhou, J. Mixing linear SVMs for nonlinear classification. IEEE Trans. on Nueral Networks, 21(12):1963-1975, 2010.
    • (2010) IEEE Trans. on Nueral Networks , vol.21 , Issue.12 , pp. 1963-1975
    • Fu, Z.1    Robles-Kelly, A.2    Zhou, J.3
  • 12
    • 79960079512 scopus 로고    scopus 로고
    • Dirichlet process mixtures of generalized linear models
    • Hannah, L., Blei, D., & Powell, W. Dirichlet process mixtures of generalized linear models. In AISTATS, 2010.
    • (2010) AISTATS
    • Hannah, L.1    Blei, D.2    Powell, W.3
  • 15
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Joachims, T. Transductive inference for text classification using support vector machines. In ICML, 1999.
    • (1999) ICML
    • Joachims, T.1
  • 17
    • 33749248521 scopus 로고    scopus 로고
    • Nonstationary kernel combination
    • Lewis, D., Jebara, T., & Noble, W. Nonstationary kernel combination. In ICML, 2006.
    • (2006) ICML
    • Lewis, D.1    Jebara, T.2    Noble, W.3
  • 18
    • 0041810454 scopus 로고    scopus 로고
    • Asymptotics for likelihood ratio tests under loss of identifiability
    • Liu, X. & Shao, Y. Asymptotics for likelihood ratio tests under loss of identifiability. Annals of Stats, 31(3):807-832, 2003.
    • (2003) Annals of Stats , vol.31 , Issue.3 , pp. 807-832
    • Liu, X.1    Shao, Y.2
  • 19
    • 33750330576 scopus 로고    scopus 로고
    • Combining statistical learning with a knowledge-based approach - A case study in intensive care monitoring
    • Morik, K., Brockhausen, P., & Joachims, T. Combining statistical learning with a knowledge-based approach - a case study in intensive care monitoring. In ICML, 1999.
    • (1999) ICML
    • Morik, K.1    Brockhausen, P.2    Joachims, T.3
  • 20
    • 77953218689 scopus 로고    scopus 로고
    • Random features for large-scale kernel machines
    • Rahimi, A. & Recht, B. Random features for large-scale kernel machines. In NIPS, 2007.
    • (2007) NIPS
    • Rahimi, A.1    Recht, B.2
  • 21
    • 78049480844 scopus 로고    scopus 로고
    • Inifinite mixture-of-experts model for sparse survival regression with application to breast cancer
    • Raman, S., Fuchs, T., Wild, P., Dahl, E., Buhmann, J., & Roth, V. Inifinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinformatics, 11:S8, 2010.
    • (2010) BMC Bioinformatics , vol.11
    • Raman, S.1    Fuchs, T.2    Wild, P.3    Dahl, E.4    Buhmann, J.5    Roth, V.6
  • 22
    • 0037511469 scopus 로고    scopus 로고
    • Infinite mixtures of Gaussian process experts
    • Rasmussen, C. & Ghahramani, Z. Infinite mixtures of Gaussian process experts. In NIPS, 2001.
    • (2001) NIPS
    • Rasmussen, C.1    Ghahramani, Z.2
  • 24
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • Sethuraman, J. A constructive definition of Dirichlet priors. Statistica Sinica, (4):639-650, 1994.
    • (1994) Statistica Sinica , Issue.4 , pp. 639-650
    • Sethuraman, J.1
  • 25
    • 70349425847 scopus 로고    scopus 로고
    • Nonlinear models using Dirichlet process mixtures
    • Shahbaba, B. & Neal, R. Nonlinear models using Dirichlet process mixtures. JMLR, 10:1829-1850, 2009.
    • (2009) JMLR , vol.10 , pp. 1829-1850
    • Shahbaba, B.1    Neal, R.2
  • 26
    • 33745780732 scopus 로고    scopus 로고
    • Exponential family harmoniums with an application to information retrieval
    • Welling, M., Rosen-Zvi, M., & Hinton, G. Exponential family harmoniums with an application to information retrieval. In NIPS, 2004.
    • (2004) NIPS
    • Welling, M.1    Rosen-Zvi, M.2    Hinton, G.3
  • 27
    • 73549086344 scopus 로고    scopus 로고
    • Maximum entropy discrimination Markov networks
    • Zhu, J. & Xing, E. Maximum entropy discrimination Markov networks. JMLR, 10:2531-2569, 2009.
    • (2009) JMLR , vol.10 , pp. 2531-2569
    • Zhu, J.1    Xing, E.2
  • 28
    • 85162025905 scopus 로고    scopus 로고
    • Partially observed maximum entropy discrimination Markov networks
    • Zhu, J., Xing, E., & Zhang, B. Partially observed maximum entropy discrimination Markov networks. In NIPS, 2008.
    • (2008) NIPS
    • Zhu, J.1    Xing, E.2    Zhang, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.