509 search results - page 18 / 102 » Support Vector Machines: Theory and Applications |
ICML
2003
IEEE
14 years 9 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...
ML
2002
ACM
13 years 8 months 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...
CORR
2011
Springer
13 years 7 days ago
2011
Springer
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimiz...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
BMCBI
2008
13 years 8 months ago
2008
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...