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DMIN
2006
158views Data Mining» more  DMIN 2006»
15 years 8 months ago
Ensemble Selection Using Diversity Networks
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
Qiang Ye, Paul W. Munro
ESANN
2006
15 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
ESANN
2006
15 years 8 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
ESANN
2001
15 years 8 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
IPCO
2001
79views Optimization» more  IPCO 2001»
15 years 8 months ago
Synthesis of 2-Commodity Flow Networks
We investigate network design under volatile conditions of link failures and traffic overload. Our model is a non-simultaneous 2-commodity problem. We characterize the feasible so...
Refael Hassin, Asaf Levin