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» Algorithms for Large Scale Markov Blanket Discovery
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JMLR
2008
94views more  JMLR 2008»
14 years 11 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
BMCBI
2010
121views more  BMCBI 2010»
14 years 11 months ago
A Markov blanket-based method for detecting causal SNPs in GWAS
Background: Detecting epistatic interactions associated with complex and common diseases can help to improve prevention, diagnosis and treatment of these diseases. With the develo...
Bing Han, Meeyoung Park, Xue-wen Chen
TIP
2008
133views more  TIP 2008»
14 years 11 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
CORR
2006
Springer
104views Education» more  CORR 2006»
14 years 11 months ago
Loop corrections for approximate inference
We propose a method to improve approximate inference methods by correcting for the influence of loops in the graphical model. The method is a generalization and alternative implem...
Joris M. Mooij, Bert Kappen
PAMI
2010
164views more  PAMI 2010»
14 years 10 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas