Knowing the number of residue contacts in a protein is crucial for deriving constraints useful in modeling protein folding, protein structure, and/or scoring remote homology searc...
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
We assume a link-register communication model under read/write atomicity, where every process can read from but cannot write into its neighbours' registers. The paper present...
Networked UNIX workstations as well as workstations running Windows 98 and Windows NT are fast becoming the standard computing environments at many universities and research sites....