447 search results - page 16 / 90 » Choosing Multiple Parameters for Support Vector Machines |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
ML
2010
ACM
13 years 6 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
DAC
2003
ACM
14 years 8 months ago
2003
ACM
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
ICDM
2007
IEEE
13 years 9 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
PREMI
2007
Springer
14 years 1 months ago
2007
Springer
Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to ...