We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Common programming practice grants excess authority for the sake of functionality; programming principles require least authority for the sake of security. If we practice our princ...
Many practical applications generate irregular, nonbalanced divide-and-conquer trees which have different depths, possibly also different numbers of successors at different levels...
In this paper we present algorithms for building and maintaining efficient collection trees that provide the conduit to disseminate data required for processing monitoring queries...
Recent work on information integration has yielded novel and efficient solutions for gathering data from the World Wide Web. However, there has been little attention given to the ...
Greg Barish, Dan DiPasquo, Craig A. Knoblock, Stev...