312 search results - page 4 / 63 » Combined Optimization of Feature Selection and Algorithm Par... |
MCS
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
PAMI
2010
13 years 4 months ago
2010
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
ICML
1996
IEEE
14 years 6 months ago
1996
IEEE
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
CGO
2010
IEEE
14 years 26 days ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...