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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 11 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 10 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
ICML
2002
IEEE
16 years 6 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
CVPR
2011
IEEE
15 years 2 months ago
Natural Image Denoising: Optimality and Inherent Bounds
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been stud...
Anat Levin, Boaz Nadler
ACL
1994
15 years 6 months ago
Optimizing the Computational Lexicalization of Large Grammars
The computational lexicalization of a grammar is the optimization of the links between lexicalized rules and lexical items in order to improve the quality of the bottom-up filteri...
Christian Jacquemin