Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
We consider a shared store based on distributed shared memory (DSM), supporting persistence by reachability (PBR), a very simple data sharing model for a distributed system. This ...
Jackal is a fine-grained distributed shared memory implementation of the Java programming language. It aims to implement Java’s memory model and allows multithreaded Java progr...
Jun Pang, Wan Fokkink, Rutger F. H. Hofman, Ronald...
A major difficulty of heterogeneous process migration is how to collect advanced dynamic data-structures, transform them into machine independent form, and restor them appropriate...
Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...