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» Boosting Methods for Regression
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TIT
2002
164views more  TIT 2002»
13 years 9 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
ECCV
2006
Springer
14 years 12 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
Background: Accurate prediction of antigenic epitopes is important for immunologic research and medical applications, but it is still an open problem in bioinformatics. The case f...
Shide Liang, Dandan Zheng, Daron M. Standley, Bo Y...
SIGMOD
2007
ACM
159views Database» more  SIGMOD 2007»
14 years 10 months ago
Boosting topic-based publish-subscribe systems with dynamic clustering
We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to thos...
Tova Milo, Tal Zur, Elad Verbin
PROCEDIA
2010
109views more  PROCEDIA 2010»
13 years 4 months ago
Ridge regression ensemble for toxicity prediction
Traditional methods of assessing chemical toxicity of various compounds require tests on animals, which raises ethical concerns and is expensive. Current legislation may lead to a...
Marcin Budka, Bogdan Gabrys