254 search results - page 9 / 51 » Learning with Consistency between Inductive Functions and Ke... |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
RECOMB
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...