Abstract--This paper surveys and unifies a number of recent contributions that have collectively developed a metric for decentralized wireless network analysis known as transmissio...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Background: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic ...
Blazej Bulka, Marie desJardins, Stephen J. Freelan...
The paper first presents the integration options of what we call the Timing Description Language (TDL) with MathWorks' Simulink tools. Based on the paradigm of logical executi...
Distributed JVM systems enable concurrent Java applications to transparently run on clusters of commodity computers by supporting Java’s shared-memory model over multiple JVMs di...
Marcelo Lobosco, Orlando Loques, Claudio Luis de A...