2566 search results - page 86 / 514 » Relating reinforcement learning performance to classificatio... |
NIPS
2008
15 years 1 months ago
2008
In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
CHI
1993
ACM
15 years 4 months ago
1993
ACM
A software tool called EXPLAINER has been developed for helping programmers perform new tasks by exploring previously worked-out examples. EXPLAINER is based on cognitive principl...
ICML
2006
IEEE
16 years 20 days ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
120
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BMCBI
2007
14 years 12 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
101
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GECCO
2000
Springer
15 years 3 months ago
2000
Springer
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...