The Infinite Latent Events Model
We present the Infinite Latent Events Model, a nonparametric hierarchical Bayesian distribution over infinite dimensional Dynamic Bayesian Networks with binary state representations and noisy-OR-like transitions. The distribution can be used to learn structure in discrete timeseries data by simultan...
Main Authors: | Wingate, David, Goodman, Noah D., Roy, Daniel, Tenenbaum, Joshua B. |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
Association for Uncertainty in Artificial Intelligence Press
2012
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Online Access: | http://hdl.handle.net/1721.1/71255 https://orcid.org/0000-0002-1925-2035 |
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