133 search results - page 17 / 27 » Margin and Radius Based Multiple Kernel Learning |
ICML
2010
IEEE
15 years 22 days ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
ICML
2008
IEEE
16 years 14 days ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
88
Voted
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
ML
2008
ACM
14 years 11 months ago
2008
ACM
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
104
Voted
RECOMB
2005
Springer
15 years 12 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...