The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Many traditional techniques for “looking inside” volumetric data involve removing portions of the data, for example using various cutting tools, to reveal the interior. This a...
Michael J. McGuffin, Liviu Tancau, Ravin Balakrish...
Because there is still no agreed-upon global ontology, Web services supplied by different providers typically have individual and unique semantics, described by independently devel...
Jingshan Huang, Rosa Laura Zavala Gutierrez, Benit...
—Distributed systems, especially time-triggered ones, are implementing clock synchronization algorithms to provide and maintain a common view of time among the different nodes. S...
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...