We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
This paper studies mobile-generated traffic distributions in mobile ATM networks and evaluates the performance of path rerouting algorithms for handoff control. In mobile ATM netwo...
The regenerative method of simulation output analysis exploits the regenerative structure of a stochastic process to break up a path into independent and identically distributed c...
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...