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 (Contributor), Goodman, Noah D. (Contributor), Roy, Daniel (Contributor), Tenenbaum, Joshua B. (Contributor) |
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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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Subjects: | |
Online Access: | Get fulltext |
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