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TNN
2010
171views Management» more  TNN 2010»
14 years 10 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
133
Voted
FSTTCS
2009
Springer
15 years 10 months ago
Approximating Fault-Tolerant Group-Steiner Problems
In this paper, we initiate the study of designing approximation algorithms for FaultTolerant Group-Steiner (FTGS) problems. The motivation is to protect the well-studied group-Ste...
Rohit Khandekar, Guy Kortsarz, Zeev Nutov
125
Voted
DNA
2007
Springer
107views Bioinformatics» more  DNA 2007»
15 years 9 months ago
Solutions to Computational Problems Through Gene Assembly
Abstract. Gene assembly in ciliates is an impressive computational process. Ciliates have a unique way of storing their genetic information in two fundamentally different forms wi...
Artiom Alhazov, Ion Petre, Vladimir Rogojin
116
Voted
PPSN
2000
Springer
15 years 7 months ago
A Hybrid GA for the Edge-Biconnectivity Augmentation Problem
In the design of communication networks, robustness against failures in single links or nodes is an important issue. This paper proposes a new approach for the NP-complete edge-bic...
Ivana Ljubic, Günther R. Raidl, Jozef Kratica
149
Voted
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
15 years 5 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli