2681 search results - page 39 / 537 » Learning to learn with the informative vector machine |
172
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DAGSTUHL
2009
15 years 5 months ago
2009
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
158
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
138
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
131
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
113
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AHS
2007
IEEE
15 years 10 months ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...