544 search results - page 13 / 109 » Active Learning with Model Selection in Linear Regression |
ESANN
2000
13 years 10 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
PRL
2010
13 years 3 months ago
2010
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
WSC
2008
13 years 11 months ago
2008
We develop a Ranking and Selection procedure for selecting the best configuration based on a transient mean performance measure. The procedure extends the OCBA approach to systems...
CDC
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...