Infinite dynamic bayesian networks

Infinite dynamic bayesian networks

We present the infinite dynamic Bayesian network model (iDBN), a nonparametric, factored state-space model that generalizes dynamic Bayesian networks (DBNs). The iDBN can infer every aspect of a DBN: the number of hidden factors, the number of values each factor can take, and (arbitrarily complex) c...

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Bibliographic Details
Main Authors: Doshi-Velez, Finale P., Wingate, David, Tenenbaum, Joshua B., Roy, Nicholas
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: International Machine Learning Society 2012
Online Access:http://hdl.handle.net/1721.1/70126
https://orcid.org/0000-0002-1925-2035
https://orcid.org/0000-0002-8293-0492

Internet

http://hdl.handle.net/1721.1/70126
https://orcid.org/0000-0002-1925-2035
https://orcid.org/0000-0002-8293-0492

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