Article
Boosting random subspace method.
Neural networks : the official journal of the International Neural Network Society - 1 Nov 2008
García-Pedrajas Nicolás, Ortiz-Boyer Domingo
Abstract excerpt
In this paper we propose a boosting approach to random subspace method (RSM) to achieve an improved performance and avoid some of the major drawbacks of RSM. RSM is a successful method for classification. However, the random selection of inputs, its source of success, can also be a major problem. For several problems some of the selected subspaces may lack the discriminant ability to separate the different...
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