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Tree-Structured Infinite Sparse Factor Model.

Publication ,  Journal Article
Zhang, X; Dunson, DB; Carin, L
Published in: Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning
January 2011

A tree-structured multiplicative gamma process (TMGP) is developed, for inferring the depth of a tree-based factor-analysis model. This new model is coupled with the nested Chinese restaurant process, to nonparametrically infer the depth and width (structure) of the tree. In addition to developing the model, theoretical properties of the TMGP are addressed, and a novel MCMC sampler is developed. The structure of the inferred tree is used to learn relationships between high-dimensional data, and the model is also applied to compressive sensing and interpolation of incomplete images.

Duke Scholars

Published In

Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning

Publication Date

January 2011

Volume

2011

Start / End Page

785 / 792
 

Citation

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MLA
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Zhang, X., Dunson, D. B., & Carin, L. (2011). Tree-Structured Infinite Sparse Factor Model. Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, 2011, 785–792.
Zhang, XianXing, David B. Dunson, and Lawrence Carin. “Tree-Structured Infinite Sparse Factor Model.Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning 2011 (January 2011): 785–92.
Zhang X, Dunson DB, Carin L. Tree-Structured Infinite Sparse Factor Model. Proceedings of the . International Conference on Machine Learning International Conference on Machine Learning. 2011 Jan;2011:785–92.
Zhang, XianXing, et al. “Tree-Structured Infinite Sparse Factor Model.Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, vol. 2011, Jan. 2011, pp. 785–92.
Zhang X, Dunson DB, Carin L. Tree-Structured Infinite Sparse Factor Model. Proceedings of the . International Conference on Machine Learning International Conference on Machine Learning. 2011 Jan;2011:785–792.

Published In

Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning

Publication Date

January 2011

Volume

2011

Start / End Page

785 / 792