Latent Variable Graphical Model Selection Via Convex Optimization

Latent Variable Graphical Model Selection Via Convex Optimization

Show other versions (1)

Suppose we have samples of a subset of a collection of random variables. No additional information is provided about the number of latent variables, nor of the relationship between the latent and observed variables. Is it possible to discover the number of hidden components, and to learn a statistic...

Full description

Bibliographic Details
Main Authors: Chandrasekaran, Venkat (Contributor), Parrilo, Pablo A. (Contributor), Willsky, Alan S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-09-11T15:10:32Z.
Subjects:
Article
Online Access:Get fulltext

Similar Items

Similar Items