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» McPOWER: a Monte Carlo approach to power estimation
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BMCBI
2008
179views more  BMCBI 2008»
14 years 9 months ago
Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Xutao Deng, Jun Xu, Charles Wang
ICML
2010
IEEE
14 years 10 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
CSDA
2007
92views more  CSDA 2007»
14 years 9 months ago
The Bayes factor for inequality and about equality constrained models
The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
Irene Klugkist, Herbert Hoijtink
ICML
2007
IEEE
15 years 10 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver
ALT
2003
Springer
15 years 6 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang