Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
We present a computation-centric theory of memory models. Unlike traditional processor-centric models, computation-centric models focus on the logical dependencies among instructi...