Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques

Papa, João Paulo [UNESP]; Rosa, Gustavo Henrique de [UNESP]; Marana, Aparecido Nilceu [UNESP]; Scheirer, Walter; Cox, David Daniel

Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques

Data

2015

Autores

Papa, João Paulo

Rosa, Gustavo Henrique de

Marana, Aparecido Nilceu

Scheirer, Walter

Cox, David Daniel

Tipo

Artigo

Direito de acesso

Acesso restrito

Resumo

Discriminative learning of Restricted Boltzmann Machines has been recently introduced as an alternative to provide a self-contained approach for both unsupervised feature learning and classification purposes. However, one of the main problems faced by researchers interested in such approach concerns with a proper selection of its parameters, which play an important role in its final performance. In this paper, we introduced some meta-heuristic techniques for this purpose, as well as we showed they can be more accurate than a random search, which is commonly used technique in several works.