Code Compression has been shown to be efficient in minimizing the memory requirements for embedded systems as well as in power consumption reduction and performance improvement. I...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
- Since the advent of model driven software engineering (MDSE) it has become necessary to develop techniques and tools for model evolution. In this paper we examine two issues and ...
Topology control by means of transmit power adjustment is a well-studied technique for improving the network capacity and energy efficiency of wireless ad hoc networks. In this pa...
Alvin C. Valera, Pius W. Q. Lee, Yew Fai Wong, Win...
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...