26 search results - page 2 / 6 » Shrinking the Tube: A New Support Vector Regression Algorith... |
CDC
2008
IEEE
14 years 7 days ago
2008
IEEE
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
SYNASC
2006
IEEE
13 years 11 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
NECO
2007
13 years 5 months ago
2007
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
ESANN
2000
13 years 7 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...