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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 2 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
ICIP
2003
IEEE
14 years 10 months ago
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
Anastasios D. Doulamis, Nikolaos D. Doulamis
WIMOB
2008
IEEE
14 years 3 months ago
PGMS: Pseudo-optimal Greedy Media Streaming Algorithm for Heterogeneous Wireless Networks
The integration of different wireless access technologies combined with the huge characteristic diversity of supported services in next-generation systems creates a real heterogen...
Ahmed H. Zahran, Cormac J. Sreenan
ALENEX
2009
106views Algorithms» more  ALENEX 2009»
13 years 9 months ago
Drawing Binary Tanglegrams: An Experimental Evaluation
A tanglegram is a pair of trees whose leaf sets are in oneto-one correspondence; matching leaves are connected by inter-tree edges. In applications such as phylogenetics or hierar...
Martin Nöllenburg, Markus Völker, Alexan...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 2 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf