1037 search results - page 90 / 208 » Learning of Boolean Functions Using Support Vector Machines |
CIVR
2005
Springer
14 years 2 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
WWW
2002
ACM
14 years 9 months ago
2002
ACM
Table is a commonly used presentation scheme, especially for describing relational information. However, table understanding remains an open problem. In this paper, we consider th...
PPOPP
2009
ACM
14 years 9 months ago
2009
ACM
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
COLT
1999
Springer
14 years 1 months ago
1999
Springer
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...