46 search results - page 2 / 10 » Linear parametric noise models for Least Squares Support Vec... |
ALT
2000
Springer
14 years 1 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
NECO
2011
12 years 11 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
BMCBI
2005
13 years 4 months ago
2005
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
ASC
2008
13 years 4 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
DICTA
2003
13 years 6 months ago
2003
An algebraic curve is defined as the zero set of a multivariate polynomial. We consider the problem of fitting an algebraic curve to a set of vectors given an additional set of v...