Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
Modeling 3D objects and scenes is an important part of computer graphics. One approach to modeling is projecting binary patterns onto the scene in order to obtain correspondences ...
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Human big conductance Ca2+ - and voltage-gated K+ channels (hBK) are putative drug targets for cardiovascular, respiratory and urological diseases. Here we have used molecular sim...
Agata Kranjc, Claudio Anselmi, Paolo Carloni, Fran...