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Classification with Incomplete Data Using Dirichlet Process Priors.

Publication ,  Journal Article
Wang, C; Liao, X; Carin, L; Dunson, DB
Published in: Journal of machine learning research : JMLR
March 2010

A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a local "expert", and the number of experts and their construction are manifested via a Dirichlet process formulation. The simple form of the "experts" allows analytical handling of incomplete data. The model is extended to allow simultaneous design of classifiers on multiple data sets, termed multi-task learning, with this also performed non-parametrically via the Dirichlet process. Fast inference is performed using variational Bayesian (VB) analysis, and example results are presented for several data sets. We also perform inference via Gibbs sampling, to which we compare the VB results.

Duke Scholars

Published In

Journal of machine learning research : JMLR

EISSN

1533-7928

ISSN

1532-4435

Publication Date

March 2010

Volume

11

Start / End Page

3269 / 3311

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4905 Statistics
  • 4611 Machine learning
  • 17 Psychology and Cognitive Sciences
  • 08 Information and Computing Sciences
 

Citation

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MLA
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Wang, C., Liao, X., Carin, L., & Dunson, D. B. (2010). Classification with Incomplete Data Using Dirichlet Process Priors. Journal of Machine Learning Research : JMLR, 11, 3269–3311.
Wang, Chunping, Xuejun Liao, Lawrence Carin, and David B. Dunson. “Classification with Incomplete Data Using Dirichlet Process Priors.Journal of Machine Learning Research : JMLR 11 (March 2010): 3269–3311.
Wang C, Liao X, Carin L, Dunson DB. Classification with Incomplete Data Using Dirichlet Process Priors. Journal of machine learning research : JMLR. 2010 Mar;11:3269–311.
Wang, Chunping, et al. “Classification with Incomplete Data Using Dirichlet Process Priors.Journal of Machine Learning Research : JMLR, vol. 11, Mar. 2010, pp. 3269–311.
Wang C, Liao X, Carin L, Dunson DB. Classification with Incomplete Data Using Dirichlet Process Priors. Journal of machine learning research : JMLR. 2010 Mar;11:3269–3311.

Published In

Journal of machine learning research : JMLR

EISSN

1533-7928

ISSN

1532-4435

Publication Date

March 2010

Volume

11

Start / End Page

3269 / 3311

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4905 Statistics
  • 4611 Machine learning
  • 17 Psychology and Cognitive Sciences
  • 08 Information and Computing Sciences