Sciweavers

99 search results - page 1 / 20
» On the Use of Neural Network Ensembles in QSAR and QSPR
Sort
View
JCISD
2002
56views more  JCISD 2002»
13 years 4 months ago
On the Use of Neural Network Ensembles in QSAR and QSPR
Dimitris K. Agrafiotis, Walter Cedeño, Vict...
APIN
2000
116views more  APIN 2000»
13 years 5 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
IJCNN
2006
IEEE
13 years 11 months ago
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approach
—A new application of the NN ensemble technique to improve the accuracy and stability of the calculation of NN emulation Jacobians is presented. The term “emulation” is defin...
Vladimir M. Krasnopolsky
ESANN
2004
13 years 6 months ago
Online policy adaptation for ensemble classifiers
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Christos Dimitrakakis, Samy Bengio
IJCAI
2001
13 years 6 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen