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The concept of ensemble feature selection has been raised by Optiz in his earlier work. And yet, for models like neural networks, new models should be trained and created for every change in its feature subspace, this problem may become tricky when evolutionary algorithms are used to select features, for the slow-training process of neural networks may dramatically extend the whole process of ensemble...
The algorithm of GASEN (Genetic Algorithm based Selective Ensemble Network) has been proven to be a very effective way to select a subset of neural networks to form an ensemble classifier or a regressor of enhanced generation ability. And yet performance of GASEN on class-imbalance data sets hasn't been discussed widely, while class-imbalance learning itself is an increasingly important issue. In...
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