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ICA
2007
Springer
14 years 1 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»
13 years 4 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»
14 years 3 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
UAI
1996
13 years 11 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
14 years 10 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...