44 search results - page 7 / 9 » Learning the kernel parameters in kernel minimum distance cl... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
NIPS
2004
13 years 7 months ago
2004
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
ESA
2010
Springer
13 years 6 months ago
2010
Springer
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...