A sea of undifferentiated information is forming from the body of data that is collected by people and organizations, across government, for different purposes, at different times...
Meadows recently proposed a formal cost-based framework for analysis of denial of service. It was showed how some principles that have already been used to make cryptographic prot...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
Optical coherence tomography (OCT) is an optical ranging technique analogous to radar — detection of back-scattered light produces a signal that is temporally localized at times...
Brynmor J. Davis, Tyler S. Ralston, Daniel L. Mark...