20 search results - page 1 / 4 » Selecting a Reduced Set for Building Sparse Support Vector R... |
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
ESANN
2008
13 years 6 months ago
2008
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
JMLR
2006
13 years 4 months ago
2006
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
IJCNN
2006
IEEE
13 years 10 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...