In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
In [7] Maria I. Sessa extended the SLD resolution principle with the ability of performing approximate reasoning and flexible query answering. The operational mechanism of similar...
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Field programmable gate arrays (FPGAs), graphics processing units (GPUs) and Sony's PlayStation 2 vector units offer scope for hardware acceleration of applications. We compa...
Lee W. Howes, Paul Price, Oskar Mencer, Olav Beckm...