Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
Background: We have developed the program PERMOL for semi-automated homology modeling of proteins. It is based on restrained molecular dynamics using a simulated annealing protoco...
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
Background: Profile-profile methods have been used for some years now to detect and align homologous proteins. The best such methods use information from the background distributi...
Abstract. The lattice approach to biological structural analysis was made popular by the HP model for protein folding, but had not been used previously for RNA secondary structure ...