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» On the Brittleness of Evolutionary Algorithms
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DAGM
2008
Springer
15 years 8 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
HIS
2008
15 years 7 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
HAIS
2009
Springer
15 years 4 months ago
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...
WWW
2002
ACM
16 years 7 months ago
A web-based resource migration protocol using WebDAV
The web's hyperlinks are notoriously brittle, and break whenever a resource migrates. One solution to this problem is a transparent resource migration mechanism, which separa...
Michael P. Evans, Steven Furnell
CP
2004
Springer
15 years 12 months ago
Generating Robust Partial Order Schedules
This paper considers the problem of transforming a resource feasible, fixed-times schedule into a partial order schedule (POS) to enhance its robustness and stability properties. ...
Nicola Policella, Angelo Oddi, Stephen F. Smith, A...