Application of Classification Restricted Boltzmann Machine with discriminative and sparse learning to medical domains

Recent developments have demonstrated deep models to be very powerful generative models which are able to extract features automatically and obtain high predictive performance. Typically, a building block of a deep architecture is Restricted Boltzmann Machine (RBM). In this work, we focus on a variant of RBM adopted to the classification setting, which is… CONTINUE READING