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...
Main Authors: | Grosse, Roger Baker, Salakhutdinov, Ruslan, Freeman, William T., Tenenbaum, Joshua B. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
AUAI Press
2014
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Online Access: | 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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