Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
— We consider cell-based switch architectures in which the speedup of the internal switching fabric is not large enough to avoid input buffering. These architectures require a sc...
Emilio Leonardi, Marco Mellia, Marco Ajmone Marsan...
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
— We consider cell-based switch architectures, whose internal switching matrix does not provide enough speed to avoid input buffering. These architectures require a scheduling al...
Marco Ajmone Marsan, Emilio Leonardi, Marco Mellia...