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UAI
2008
15 years 1 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
94
Voted
BMCBI
2008
106views more  BMCBI 2008»
15 years 18 days ago
A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selec
Background: Cell viability is one of the basic properties indicating the physiological state of the cell, thus, it has long been one of the major considerations in biotechnologica...
Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Natt...
98
Voted
INFORMS
1998
100views more  INFORMS 1998»
15 years 5 days ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
91
Voted
CSDA
2007
105views more  CSDA 2007»
15 years 14 days ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
92
Voted
IC
2003
15 years 1 months ago
Metasearch Via the Co-Citation Graph
—In spite of numerous search engines available on the web, no single engine is capable of performing “better” under all circumstances. This being the case, metasearch engines...
Hyun-Chul Lee