2712 search results - page 437 / 543 » On learning algorithm selection for classification |
150
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EC
2006
15 years 2 months ago
2006
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
99
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
96
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
126
Voted
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
132
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COMPLIFE
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...