1998 LearnTheStructOfDynamicProbNetworks
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- (Friedman et al., 1998) ⇒ Nir Friedman, Kevin P. Murphy, and Stuart J. Russell. (1998). “Learning the Structure of Dynamic Probabilistic Networks.” In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI 1998).
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Abstract
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend structure scoring rules for standard probabilistic networks to the dynamic case, and showhow to search for structure whensome of the variables are hidden. Finally, we examine two applications where such a technology might be useful: predicting and classifying dynamic behaviors, and learning causal orderings in biological processes. We provide empirical results that demonstrate the applicability of our methods in both domains.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1998 LearnTheStructOfDynamicProbNetworks | Kevin P. Murphy Stuart J. Russell Nir Friedman | Learning the Structure of Dynamic Probabilistic Networks | http://www.cs.ubc.ca/~murphyk/Papers/dbnsem uai98.pdf |