In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
It has been proven that scan path is a potent hazard for secure chips. Scan based attacks have been recently demonstrated against DES or AES and several solutions have been presen...
Recent trends in Internet computing have led to the popularization of many forms of virtual organizations. Examples include supply chain management, grid computing, and collaborat...
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...