The Infinite Latent Events Model

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...

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Bibliographic Details
Main Authors: Wingate, David (Contributor), Goodman, Noah D. (Contributor), Roy, Daniel (Contributor), Tenenbaum, Joshua B. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Association for Uncertainty in Artificial Intelligence Press, 2012-06-28T15:56:37Z.
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