In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
Seung-Jean Kim, Alessandro Magnani, Stephen P. Boy...
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
This paper discusses the unsupervised learning problem. An important part of the unsupervised learning problem is determining the numberofconstituent groups (componentsor classes)...
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wall...
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...
We consider the problem of combining ranking results from various sources. In the context of the Web, the main applications include building meta-search engines, combining ranking...
Cynthia Dwork, Ravi Kumar, Moni Naor, D. Sivakumar