335 search results - page 32 / 67 » Kernel Machines and Boolean Functions |
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
BIOINFORMATICS
2005
13 years 7 months ago
2005
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
COLT
1999
Springer
13 years 11 months ago
1999
Springer
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
JMLR
2012
11 years 10 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
ICML
2008
IEEE
14 years 8 months 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...