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» Using quantiles in ranking and selection procedures
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CVPR
2008
IEEE
13 years 9 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
WSC
1997
13 years 9 months ago
It is a Far, Far Better Mean I Find...
An important problem often faced by simulation analysts is that of choosing (or selecting) one of several potential system designs. This can be accomplished by comparing output fr...
Susan M. Sanchez
DAGSTUHL
2008
13 years 9 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
BMCBI
2007
132views more  BMCBI 2007»
13 years 7 months ago
Analysis of probe level patterns in Affymetrix microarray data
Background: Microarrays have been used extensively to analyze the expression profiles for thousands of genes in parallel. Most of the widely used methods for analyzing Affymetrix ...
Alexander C. Cambon, Abdelnaby Khalyfa, Nigel G. F...
BMCBI
2005
167views more  BMCBI 2005»
13 years 7 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors