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TEC
2008
146views more  TEC 2008»
13 years 9 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 11 months ago
Learning offspring optimizing mate selection
This poster paper presents a methodology for removing userdefined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pa...
Ekaterina A. Holdener, Daniel R. Tauritz
WIOPT
2010
IEEE
13 years 8 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
STOC
2009
ACM
155views Algorithms» more  STOC 2009»
14 years 10 months ago
A nearly optimal oracle for avoiding failed vertices and edges
We present an improved oracle for the distance sensitivity problem. The goal is to preprocess a directed graph G = (V, E) with non-negative edge weights to answer queries of the f...
Aaron Bernstein, David R. Karger
ACL
2010
13 years 7 months ago
Optimizing Question Answering Accuracy by Maximizing Log-Likelihood
In this paper we demonstrate that there is a strong correlation between the Question Answering (QA) accuracy and the log-likelihood of the answer typing component of our statistic...
Matthias H. Heie, Edward W. D. Whittaker, Sadaoki ...