182 search results - page 5 / 37 » Neural Network Ensembles from Training Set Expansions |
AAAI
2004
13 years 9 months ago
2004
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...
EVOW
2003
Springer
14 years 1 months ago
2003
Springer
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
NCA
2006
IEEE
13 years 7 months ago
2006
IEEE
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...