Alexander F. Tulai

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Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N-class classifier. MSWV uses two levels of speciation, one manual (a separate species is assigned to each two-class classifier) and one automatic, to reduce the size of the search space and(More)
Cooperative Coevolution (CC) has been shown to be effective in problems where certain architectural details of the solution are evolved. This is the case of cascade neural networks where the number of hidden units is not pre-established but rather emerges through learning. We take a step towards having coadapted subcomponents emerge rather than being hand(More)
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