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» Algorithms for Large Scale Markov Blanket Discovery
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JMLR
2008
94views more  JMLR 2008»
13 years 5 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»
13 years 5 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»
13 years 5 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»
13 years 5 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»
13 years 3 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