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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 10 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
BMCBI
2006
115views more  BMCBI 2006»
13 years 10 months ago
SimArray: a user-friendly and user-configurable microarray design tool
Background: Microarrays were first developed to assess gene expression but are now also used to map protein-binding sites and to assess allelic variation between individuals. Rega...
Richard P. Auburn, Roslin R. Russell, Bettina Fisc...
IDA
2008
Springer
13 years 10 months ago
Towards more relevance-oriented data mining research
Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the last few decades, and many organisations have great expectations to take more be...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
JAIR
2008
103views more  JAIR 2008»
13 years 10 months ago
SATzilla: Portfolio-based Algorithm Selection for SAT
It has been widely observed that there is no single "dominant" SAT solver; instead, different solvers perform best on different instances. Rather than following the trad...
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton...
IJON
2006
95views more  IJON 2006»
13 years 10 months ago
Ensemble classifiers based on correlation analysis for DNA microarray classification
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
Kyung-Joong Kim, Sung-Bae Cho