Sciweavers

1662 search results - page 148 / 333
» Characterizing the generalization performance of model selec...
Sort
View
TEC
2008
146views more  TEC 2008»
15 years 6 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
2007
Springer
156views Optimization» more  GECCO 2007»
16 years 17 days ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
BMCBI
2006
123views more  BMCBI 2006»
15 years 6 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
ICSE
2008
IEEE-ACM
16 years 6 months ago
VieDAME - flexible and robust BPEL processes through monitoring and adaptation
VieDAME is a tool for monitoring and dynamic service adaptation of BPEL processes. The tool monitors partner service interaction to compute Quality of Service (QoS) data and perfo...
Oliver Moser, Florian Rosenberg, Schahram Dustdar
ICML
2004
IEEE
15 years 11 months ago
Active learning using pre-clustering
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
Hieu Tat Nguyen, Arnold W. M. Smeulders