The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
The ability to predict the directions of branches, especially conditional branches, is an important problem in modern computer architecture and advanced compilers. Many static and...
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
The memory subsystem of a complex multiprocessor systemson-chip (MPSoC) is an important contributor to the chip power consumption. The selection of memory architecture, as well as...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...