Exploiting Compositionality to Explore a Large Space of Model Structures

Exploiting Compositionality to Explore a Large Space of Model Structures

The recent proliferation of richly structured probabilistic models raises the question of how to automatically determine an appropriate model for a dataset. We investigate this question for a space of matrix decomposition models which can express a variety of widely used models from unsupervised lea...

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Bibliographic Details
Main Authors: Grosse, Roger Baker, Salakhutdinov, Ruslan, Freeman, William T., Tenenbaum, Joshua B.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: AUAI Press 2014
Online Access:http://hdl.handle.net/1721.1/86219
https://orcid.org/0000-0002-1925-2035
https://orcid.org/0000-0002-2231-7995

Internet

http://hdl.handle.net/1721.1/86219
https://orcid.org/0000-0002-1925-2035
https://orcid.org/0000-0002-2231-7995

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