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GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
14 years 6 days ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
CP
2007
Springer
14 years 1 months ago
Solution Counting Algorithms for Constraint-Centered Search Heuristics
Constraints have played a central role in cp because they capture key substructures of a problem and efficiently exploit them to boost inference. This paper intends to do the same ...
Alessandro Zanarini, Gilles Pesant
HAIS
2009
Springer
14 years 10 hour ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
BMCBI
2006
109views more  BMCBI 2006»
13 years 7 months ago
HaploRec: efficient and accurate large-scale reconstruction of haplotypes
Background: Haplotypes extracted from human DNA can be used for gene mapping and other analysis of genetic patterns within and across populations. A fundamental problem is, howeve...
Lauri Eronen, Floris Geerts, Hannu Toivonen
PAA
2002
13 years 7 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford