192 search results - page 7 / 39 » A Note on the Decomposition Methods for Support Vector Regre... |
AAAI
2006
13 years 10 months ago
2006
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
ICONIP
2008
13 years 10 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
IWANN
1999
Springer
14 years 25 days ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
NIPS
1996
13 years 10 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...