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Volumn , Issue , 2009, Pages 143-150

Correlated non-parametric latent feature models

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MODELING; FEATURE MODELS; NON-PARAMETRIC; REAL-WORLD DATASETS; REAL-WORLD PROBLEM;

EID: 79955794799     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (18)
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    • Blei, D.1    Lafferty, J.2
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    • 70350373855 scopus 로고    scopus 로고
    • Utilizing object-object and object-scene context when planning to find things
    • Kollar, T., & Roy, N. (2009). Utilizing object-object and object-scene context when planning to find things. ICRA.
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    • Kollar, T.1    Roy, N.2
  • 9
    • 80053184595 scopus 로고    scopus 로고
    • Nonparametric bayes pachinko allocation
    • Li, W., Blei, D., & McCallum, A. (2007). Nonparametric bayes pachinko allocation. UAI 07.
    • (2007) UAI 07
    • Li, W.1    Blei, D.2    McCallum, A.3
  • 10
    • 78650259686 scopus 로고    scopus 로고
    • The phylogenetic indian buffet process: A non-exchangeable nonparametric prior for latent features
    • Miller, K. T., Griffiths, T. L., & Jordan, M. I. (2008). The phylogenetic indian buffet process: A non-exchangeable nonparametric prior for latent features. UAI.
    • (2008) UAI
    • Miller, K.T.1    Griffiths, T.L.2    Jordan, M.I.3
  • 11
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • Neal, R. (1992). Connectionist learning of belief networks. In Journal of artificial intelligence, vol. 56.
    • (1992) Journal of Artificial Intelligence , vol.56
    • Neal, R.1
  • 12
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for Dirichlet process mixture models
    • Neal, R. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9, 249-265.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , pp. 249-265
    • Neal, R.1
  • 14
    • 77953559148 scopus 로고    scopus 로고
    • The infinite hierarchical factor regression model
    • Rai, P., & Daume, H. (2009). The infinite hierarchical factor regression model. NIPS.
    • (2009) NIPS
    • Rai, P.1    Daume, H.2
  • 15
    • 79960881489 scopus 로고    scopus 로고
    • Submitted to Encyclopedia of Machine Learning
    • Teh, Y. W. (2007). Dirichlet processes. Submitted to Encyclopedia of Machine Learning.
    • (2007) Dirichlet Processes
    • Teh, Y.W.1
  • 16
    • 85046750222 scopus 로고    scopus 로고
    • The infinite gamma-poisson feature model
    • Titsias, M. (2007). The infinite gamma-poisson feature model. In Nips 19.
    • (2007) Nips , vol.19
    • Titsias, M.1
  • 17
    • 41749102269 scopus 로고    scopus 로고
    • UN, United nations development programme
    • UN (2008). Human development report. In United nations development programme.
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  • 18
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    • The infinite factorial hidden markov model
    • Van Gael, J., Teh, Y. W., & Ghahramani, Z. (2009). The infinite factorial hidden markov model. In Nips 21.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.