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ICPR
2006
IEEE
15 years 11 months ago
An Empirical Model for Saturation and Capacity in Classifier Spaces
When assessing reported classification results based on selection of members from a database (e.g. a face database), one would like to know what is an achievable classification ra...
Robert B. Fisher
ICML
2005
IEEE
15 years 11 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
ICML
2005
IEEE
15 years 11 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho
ICML
2003
IEEE
15 years 11 months ago
Relational Instance Based Regression for Relational Reinforcement Learning
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
Kurt Driessens, Jan Ramon
WWW
2009
ACM
15 years 10 months ago
Automatic web service composition with abstraction and refinement
ion and Refinement Hyunyoung Kil Wonhong Nam Dongwon Lee The Pennsylvania State University, University Park, PA 16802, USA {hykil, wnam, dongwon}@psu.edu The behavioral descriptio...
Hyunyoung Kil, Wonhong Nam, Dongwon Lee