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» On the Use of Neural Network Ensembles in QSAR and QSPR
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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 16 days ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ICONIP
2007
13 years 8 months ago
Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification
Multiclass gene selection and classification of cancer are rapidly gaining attention in recent years, while conventional rank-based gene selection methods depend on predefined idea...
Jin-Hyuk Hong, Sung-Bae Cho
ICANN
2007
Springer
14 years 1 months ago
Selection of Decision Stumps in Bagging Ensembles
Abstract. This article presents a comprehensive study of different ensemble pruning techniques applied to a bagging ensemble composed of decision stumps. Six different ensemble p...
Gonzalo Martínez-Muñoz, Daniel Hern&...
ICIC
2007
Springer
14 years 1 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
ISNN
2009
Springer
14 years 1 months ago
Use of Ensemble Based on GA for Imbalance Problem
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
Laura Cleofas, Rosa Maria Valdovinos, Vicente Garc...