990 search results - page 151 / 198 » Evolving kernels for support vector machine classification |
ICML
2006
IEEE
16 years 20 days ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
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...
102
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BMCBI
2004
14 years 11 months ago
2004
Background: The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experim...
BMCBI
2008
14 years 12 months ago
2008
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...