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ICA
2007
Springer
15 years 4 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
JMLR
2010
113views more  JMLR 2010»
14 years 7 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
BIBM
2009
IEEE
156views Bioinformatics» more  BIBM 2009»
15 years 5 months ago
Bayesian Classifier for Anchored Protein Sorting Discovery
—A typical cell has a size of only 10 µm while it contains about a billion proteins. Transportation of these proteins from their synthesis sites to their target locations within...
Fan Zhang, Jianjun Hu
114
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UAI
1996
15 years 2 months ago
Context-Specific Independence in Bayesian Networks
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Craig Boutilier, Nir Friedman, Moisés Golds...
ICML
2006
IEEE
16 years 1 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...