46 search results - page 2 / 10 » Using Analytic QP and Sparseness to Speed Training of Suppor... |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
JMLR
2008
13 years 5 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
BMCBI
2008
13 years 5 months ago
2008
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...