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GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 5 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
DELTA
2002
IEEE
13 years 11 months ago
Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures
In the upcoming high transmission rate system, based on code division multiple access, standard multi-user detection methods are restricted because of performance and implementati...
Florent Carlier, Fabienne Nouvel, Jacques Citerne
CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 6 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
IWANN
2005
Springer
14 years 6 days ago
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
The Shortest Common Supersequence problem is a hard combinatorial optimization problem with numerous practical applications. Several evolutionary approaches are proposed for this p...
Carlos Cotta
IJCNN
2006
IEEE
14 years 23 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff