Tree-Structured Infinite Sparse Factor Model.
Journal Article (Journal Article)
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.
Full Text
Duke Authors
Cited Authors
- Zhang, X; Dunson, DB; Carin, L
Published Date
- January 2011
Published In
- Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning
Volume / Issue
- 2011 /
Start / End Page
- 785 - 792
PubMed ID
- 25279389
Pubmed Central ID
- PMC4180059
Language
- eng