Efficient inference algorithms for near-deterministic systems
<p> This thesis addresses the problem of performing probabilistic inference in stochastic systems where the probability mass is far from uniformly distributed among all possible outcomes. Such <i>near-deterministic</i> systems arise in several real-world applications. For example,...
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| Language: | EN |
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University of California, Berkeley
2014
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=3616611 |