Cascade ensembles

Authors:
N. García-Pedrajas;D. Ortiz-Boyer;R. del Castillo-Gomariz;C. Hervás-Martínez
Affiliations:
University of Córdoba, Córdoba, Spain;University of Córdoba, Córdoba, Spain;University of Córdoba, Córdoba, Spain;University of Córdoba, Córdoba, Spain
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

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Abstract

Neural network ensembles are widely use for classification and regression problems as an alternative to the use of isolated networks. In many applications, ensembles has proven a performance above the performance of just one network. In this paper we present a new approach to neural network ensembles that we call “cascade ensembles”. The approach is based on two ideas: (i) the ensemble is created constructively, and (ii) the output of each network is fed to the inputs of the subsequent networks. In this way we make a cascade of networks. This method is compared with standard ensembles in several problems of classification with excellent performance.