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ATAL
2010
Springer
13 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
BMCBI
2010
160views more  BMCBI 2010»
13 years 6 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
BMCBI
2008
129views more  BMCBI 2008»
13 years 6 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2006
153views more  BMCBI 2006»
13 years 6 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...
ESE
2006
154views Database» more  ESE 2006»
13 years 6 months ago
Prioritizing JUnit Test Cases: An Empirical Assessment and Cost-Benefits Analysis
Test case prioritization provides a way to run test cases with the highest priority earliest. Numerous empirical studies have shown that prioritization can improve a test suite�...
Hyunsook Do, Gregg Rothermel, Alex Kinneer