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ECAI
2010
Springer
13 years 2 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
BMCBI
2006
153views more  BMCBI 2006»
13 years 5 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
14 years 2 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
CIDM
2009
IEEE
14 years 1 days ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...
SCSC
2007
13 years 6 months ago
Virtual prototyping as a mechanism for simulation-based design
The concepts of simulation based design and simulation as specification require support from appropriate computing tools. The Virtual Test Bed software continues to evolve to prov...
Roger Dougal, Blake Langland, Antonello Monti