2712 search results - page 61 / 543 » On learning algorithm selection for classification |
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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
CEEMAS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In this paper we compare our selection based learning algorithm with the reinforcement learning algorithm in Web crawlers. The task of the crawlers is to find new inform...
APBC
2004
13 years 10 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
ICANN
2003
Springer
14 years 2 months ago
2003
Springer
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
BMCBI
2010
13 years 9 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...