Sciweavers

159 search results - page 1 / 32
» A comparison of design and model selection methods for super...
Sort
View
CSDA
2010
122views more  CSDA 2010»
13 years 4 months ago
A comparison of design and model selection methods for supersaturated experiments
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Christopher J. Marley, David C. Woods
WSC
2007
13 years 6 months ago
Subset selection and optimization for selecting binomial systems applied to supersaturated design generation
The problem of finding the binomial population with the highest success probability is considered when the number of binomial populations is large. A new rigorous indifference zo...
Ning Zheng, Theodore Allen
ICDAR
2003
IEEE
13 years 10 months ago
Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
VLDB
2002
ACM
151views Database» more  VLDB 2002»
13 years 4 months ago
Preference SQL - Design, Implementation, Experiences
Current search engines can hardly cope adequately with fuzzy predicates defined by complex preferences. The biggest problem of search engines implemented with standard SQL is that...
Werner Kießling, Gerhard Köstler
ICML
2006
IEEE
14 years 5 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp