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» New approaches to support vector ordinal regression
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ESANN
2000
13 years 7 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: 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...
Colin Campbell
BMCBI
2006
242views more  BMCBI 2006»
13 years 6 months ago
Predicting residue-wise contact orders in proteins by support vector regression
Background: The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a ne...
Jiangning Song, Kevin Burrage
ALT
2006
Springer
14 years 3 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
ICMLA
2010
13 years 4 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa
NIPS
1998
13 years 7 months ago
Shrinking the Tube: A New Support Vector Regression Algorithm
A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
Bernhard Schölkopf, Peter L. Bartlett, Alex J...