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BMCBI
2004
127views more  BMCBI 2004»
14 years 9 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
BMCBI
2006
110views more  BMCBI 2006»
14 years 9 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
EOR
2006
148views more  EOR 2006»
14 years 9 months ago
Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...
ECAI
2010
Springer
14 years 10 months ago
A Motivation-Based Mechanism to Design Behaviors
In human-level simulations, like video games can be, the design of character's behaviors has an important impact on simulation realism. We propose to divide it into a reasonin...
Tony Dujardin, Jean-Christophe Routier
JCP
2006
85views more  JCP 2006»
14 years 9 months ago
A Constructive Meta-Level Feature Selection Method based on Method Repositories
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
Hidenao Abe, Takahira Yamaguchi