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FLAIRS
2006
13 years 7 months ago
Introducing GEMS - A Novel Technique for Ensemble Creation
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
Ulf Johansson, Tuve Löfström, Rikard K&o...
ESANN
2006
13 years 7 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
ARTMED
2002
119views more  ARTMED 2002»
13 years 6 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
CIDM
2009
IEEE
14 years 1 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
WSTST
2005
Springer
13 years 11 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang