335 search results - page 16 / 67 » Kernel Machines and Boolean Functions |
COLT
1999
Springer
13 years 11 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
SAS
2010
Springer
13 years 5 months ago
2010
Springer
c Abstraction for Intervals Using Boolean Formulae J¨org Brauer1 and Andy King2 1 Embedded Software Laboratory, RWTH Aachen University, Germany 2 Portcullis Computer Security, Pin...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...