UAI 1998 - PDF Preprint Papers

UAI 1998

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UAI
1998

248views Artificial Intelligence» more UAI 1998»

The Bayesian Structural EM Algorithm

14 years 1 months ago

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In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...

Nir Friedman

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Id	Views	Title	Status

1	248	The Bayesian Structural EM Algorithm	claim
2	194	Empirical Analysis of Predictive Algorithms for Collaborative Filtering	claim
3	168	Learning the Structure of Dynamic Probabilistic Networks	claim
4	144	Context-specific approximation in probabilistic inference	claim
5	135	A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data	claim
6	129	An Experimental Comparison of Several Clustering and Initialization Methods	claim
7	126	Axiomatizing Causal Reasoning	claim
8	123	Large Deviation Methods for Approximate Probabilistic Inference	claim
9	115	Structured Reachability Analysis for Markov Decision Processes	claim
10	113	Learning Mixtures of DAG Models	claim
11	109	An Anytime Algorithm for Decision Making under Uncertainty	claim
12	106	Any Time Probabilistic Reasoning for Sensor Validation	claim
13	106	Learning From What You Don't Observe	claim
14	99	Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems	claim
15	99	Decision Theoretic Foundations of Graphical Model Selection	claim
16	96	Inferring Informational Goals from Free-Text Queries: A Bayesian Approach	claim
17	92	Exact Inference of Hidden Structure from Sample Data in noisy-OR Networks	claim
18	91	Tractable Inference for Complex Stochastic Processes	claim
19	91	Hierarchical Solution of Markov Decision Processes using Macro-actions	claim
20	86	Utility Elicitation as a Classification Problem	claim
21	84	Measure Selection: Notions of Rationality and Representation Independence	claim
22	75	Incremental Tradeoff Resolution in Qualitative Probabilistic Networks	claim

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