The existing solutions in the field of computer forensics are largely ad hoc. This paper discusses the need for a rigorous model of forensics and outlines qualities that such a m...
Sean Peisert, Matt Bishop, Sidney Karin, Keith Mar...
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model type...
: The purpose of the current work is to explore and improve the analysis of event data stored in event repositories, enabling the application of specialized event algebra operators...