Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
- This paper presents an intelligent User Manager Agent System (UMAS) in which it has a capability of making a management decision for balancing the network load with the users’ ...
Abdullah Gani, Nasser Abouzakhar, Gordon A. Manson
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
We introduce a method for predicting the network traffic that will be generated by Collaborative Virtual Environment applications with varying numbers of participants. Statistical...
Chris Greenhalgh, Steve Benford, Adrian Bullock, N...