186 search results - page 6 / 38 » Sparse Kernel Regressors |
NIPS
2000
13 years 8 months ago
2000
We investigate a new kernel
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
IPPS
2008
IEEE
14 years 1 months ago
2008
IEEE
Multicore processors are marking the beginning of a new era of computing where massive parallelism is available and necessary. Slightly slower but easy to parallelize kernels are ...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...