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103
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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 5 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
101
Voted
ECSQARU
2009
Springer
15 years 7 months ago
Belief Functions and Cluster Ensembles
Abstract. In this paper, belief functions, defined on the lattice of partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. W...
Marie-Hélène Masson, Thierry Denoeux
ICIC
2007
Springer
15 years 6 months ago
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
Huanhuan Chen, Xin Yao
76
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 6 months ago
Clustering gene expression data via mining ensembles of classification rules evolved using moses
Moshe Looks, Ben Goertzel, Lúcio de Souza C...