2166 search results - page 74 / 434 » Support Vector Regression Machines |
106
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
76
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ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
105
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ALT
2001
Springer
15 years 9 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
138
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JCDL
2003
ACM
15 years 5 months ago
2003
ACM
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
118
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ML
2002
ACM
15 years 9 days ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...