23 search results - page 2 / 5 » Parallel Large Scale Feature Selection for Logistic Regressi... |
OSDI
2008
ACM
14 years 5 months ago
2008
ACM
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
JMLR
2006
13 years 5 months ago
2006
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
JMLR
2006
13 years 5 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
IJON
2007
13 years 5 months ago
2007
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...