메뉴 건너뛰기




Volumn 11, Issue , 2010, Pages 3269-3311

Classification with incomplete data using dirichlet process priors

Author keywords

Classification; Dirichlet process; Expert; Incomplete data; Multitask learning; Variational Bayesian

Indexed keywords

CLASSIFICATION; DIRICHLET PROCESS; EXPERT; INCOMPLETE DATA; MULTITASK LEARNING; VARIATIONAL BAYESIAN;

EID: 79551481555     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (57)
  • 2
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • R. K. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research, 6:1817-1853, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 5
    • 84867186048 scopus 로고    scopus 로고
    • Variational inference for Dirichlet process mixtures
    • D.M. Blei andM. I. Jordan. Variational inference for Dirichlet process mixtures. Bayesian Analysis, 1(1):121-144, 2006.
    • (2006) Bayesian Analysis , vol.1 , Issue.1 , pp. 121-144
    • Blei, D.M.1    Jordan, M.I.2
  • 6
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana. Multitask learning. Machine Learning, 28:41-75, 1997.
    • (1997) Machine Learning , vol.28 , pp. 41-75
    • Caruana, R.1
  • 8
    • 0035755636 scopus 로고    scopus 로고
    • A comparison of inclusive and restrictive strategies in modern missing data procedures
    • L. M. Collins, J. L. Schafer, and C. M. Kam. A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6(4):330-351, 2001.
    • (2001) Psychological Methods , vol.6 , Issue.4 , pp. 330-351
    • Collins, L.M.1    Schafer, J.L.2    Kam, C.M.3
  • 13
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • T. Ferguson. A Bayesian analysis of some nonparametric problems. The Annals of Statistics, 1: 209-230, 1973.
    • (1973) The Annals of Statistics , vol.1 , pp. 209-230
    • Ferguson, T.1
  • 19
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • J. Hanley and B. McNeil. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143:29-36, 1982.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.1    McNeil, B.2
  • 24
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M. I. Jordan and R. A. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6:181-214, 1994.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 30
    • 84858766481 scopus 로고    scopus 로고
    • An alternative infinite mixture of Gaussian process experts. In
    • MIT Press
    • E. Meeds and S. Osindero. An alternative infinite mixture of Gaussian process experts. In NIPS 18, pages 883-890. MIT Press, 2006.
    • (2006) NIPS , vol.18 , pp. 883-890
    • Meeds, E.1    Osindero, S.2
  • 31
    • 0002881872 scopus 로고    scopus 로고
    • Bayesian curve fitting using multivariate normal mixtures
    • P. Müller, A. Erkanli, and M. West. Bayesian curve fitting using multivariate normal mixtures. Biometrika, 83:67-79, 1996.
    • (1996) Biometrika , vol.83 , pp. 67-79
    • Müller, P.1    Erkanli, A.2    West, M.3
  • 34
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In
    • A. Y. Ng and M. I. Jordan. On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes. In Advances in Neural Information Processing Systems (NIPS), 2002.
    • (2002) Advances in Neural Information Processing Systems (NIPS)
    • Ng, A.Y.1    Jordan, M.I.2
  • 35
    • 84896062664 scopus 로고    scopus 로고
    • Infinite mixtures of Gaussian process experts. In
    • MIT Press
    • C. E. Rasmussen and Z. Ghahramani. Infinite mixtures of Gaussian process experts. In NIPS 14. MIT Press, 2002.
    • (2002) NIPS , vol.14
    • Rasmussen, C.E.1    Ghahramani, Z.2
  • 36
    • 60449108968 scopus 로고    scopus 로고
    • Bayesian nonparametric functional data analysis through density estimation
    • A. Rodríguez, D. B. Dunson, and A. E. Gelfang. Bayesian nonparametric functional data analysis through density estimation. Biometrika, 96, 2009.
    • (2009) Biometrika , vol.96
    • Rodríguez, A.1    Dunson, D.B.2    Gelfang, A.E.3
  • 37
    • 0017133178 scopus 로고
    • Inference and missing data
    • D. B. Rubin. Inference and missing data. Biometrika, 63:581-592, 1976.
    • (1976) Biometrika , vol.63 , pp. 581-592
    • Rubin, D.B.1
  • 39
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • J. L. Schafer and J. W. Graham. Missing data: Our view of the state of the art. Psychological Methods, 7:147-177, 2002.
    • (2002) Psychological Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 40
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • J. Sethuraman. A constructive definition of Dirichlet priors. Statistica Sinica, 1:639-650, 1994.
    • (1994) Statistica Sinica , vol.1 , pp. 639-650
    • Sethuraman, J.1
  • 41
    • 70349425847 scopus 로고    scopus 로고
    • Nonlinear models using Dirichlet process mixtures
    • B. Shahbaba and R. Neal. Nonlinear models using Dirichlet process mixtures. Journal of Machine Learning Research, 10:1829-1850, 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 1829-1850
    • Shahbaba, B.1    Neal, R.2
  • 45
    • 84899032239 scopus 로고    scopus 로고
    • The relevance vector machine
    • In T. K. Leen S. A. Solla and K. R. Müller, editors, MIT Press
    • M. E. Tipping. The relevance vector machine. In T. K. Leen S. A. Solla and K. R. Müller, editors, Advances in Neural Information Processing Systems (NIPS), volume 12, pages 652-658. MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems (NIPS) , vol.12 , pp. 652-658
    • Tipping, M.E.1
  • 47
    • 33645037239 scopus 로고    scopus 로고
    • Missing value estimation for DNA microarray gene expression data by support vector regression imputation and orthogonal coding scheme
    • X. Wang, A. Li, Z. Jiang, and H. Feng. Missing value estimation for DNA microarray gene expression data by support vector regression imputation and orthogonal coding scheme. BMC Bioinformatics, 7:32, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 32
    • Wang, X.1    Li, A.2    Jiang, Z.3    Feng, H.4
  • 49
    • 0002612391 scopus 로고
    • Hierarchical priors and mixture models, with application in regression and density estimation
    • In P. R. Freeman and A. F. Smith, editors, John Wiley
    • M. West, P. Müller, and M. D. Escobar. Hierarchical priors and mixture models, with application in regression and density estimation. In P. R. Freeman and A. F. Smith, editors, Aspects of Uncertainty, pages 363-386. John Wiley, 1994.
    • (1994) Aspects of Uncertainty , pp. 363-386
    • West, M.1    Müller, P.2    Escobar, M.D.3
  • 56
    • 3242661568 scopus 로고    scopus 로고
    • Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing
    • Y. Zhang, L. M. Collins, H. Yu, C. Baum, and L. Carin. Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing. IEEE Transactions on Geoscience and Remote Sensing, 41(5):1005-1015, 2003.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.5 , pp. 1005-1015
    • Zhang, Y.1    Collins, L.M.2    Yu, H.3    Baum, C.4    Carin, L.5
  • 57
    • 33745456231 scopus 로고    scopus 로고
    • Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
    • X. Zhu. Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
    • (2005) Semi-Supervised Learning Literature Survey
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.