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: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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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 |
| _version_ | 1826193134828126208 |
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| author | Wingate, David Goodman, Noah D. Roy, Daniel Tenenbaum, Joshua B. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Wingate, David Goodman, Noah D. Roy, Daniel Tenenbaum, Joshua B. |
| author_sort | Wingate, David |
| collection | MIT |
| description | 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 simultaneously inferring a set of latent events, which events fired at each timestep, and how those events are causally linked. We illustrate the model on a sound factorization task, a network topology identification task, and a video game task. |
| first_indexed | 2024-09-23T09:34:16Z |
| format | Article |
| id | mit-1721.1/71255 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:34:16Z |
| publishDate | 2012 |
| publisher | Association for Uncertainty in Artificial Intelligence Press |
| record_format | dspace |
| spelling | mit-1721.1/712552022-09-26T12:19:16Z The Infinite Latent Events Model Wingate, David Goodman, Noah D. Roy, Daniel Tenenbaum, Joshua B. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Tenenbaum, Joshua B. Wingate, David Goodman, Noah D. Roy, Daniel Tenenbaum, Joshua B. 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 simultaneously inferring a set of latent events, which events fired at each timestep, and how those events are causally linked. We illustrate the model on a sound factorization task, a network topology identification task, and a video game task. NTT Communication Science Laboratories United States. Air Force Office of Scientific Research (AFOSR FA9550-07-1-0075) United States. Office of Naval Research (ONR N00014-07-1-0937) National Science Foundation (U.S.) (Graduate Research Fellowship) United States. Army Research Office (ARO W911NF-08-1-0242) James S. McDonnell Foundation (Causal Learning Collaborative Initiative) 2012-06-28T15:56:37Z 2012-06-28T15:56:37Z 2009-06 Article http://purl.org/eprint/type/JournalArticle http://hdl.handle.net/1721.1/71255 Wingate, David, Noah Goodman, Daniel Roy and Joshua Tenenbaum. "The Infinite Latent Events Model." in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, June 18-21, 2009, Montreal, QC, Canada. p.607-614. https://orcid.org/0000-0002-1925-2035 en_US Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence ( 2009 ) June 18- 21 2009, Montreal, QC, Canada Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Uncertainty in Artificial Intelligence Press Prof. Tenenbaum |
| spellingShingle | Wingate, David Goodman, Noah D. Roy, Daniel Tenenbaum, Joshua B. The Infinite Latent Events Model |
| title | The Infinite Latent Events Model |
| title_full | The Infinite Latent Events Model |
| title_fullStr | The Infinite Latent Events Model |
| title_full_unstemmed | The Infinite Latent Events Model |
| title_short | The Infinite Latent Events Model |
| title_sort | infinite latent events model |
| url | http://hdl.handle.net/1721.1/71255 https://orcid.org/0000-0002-1925-2035 |
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