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AI
2001
Springer
15 years 8 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
ICC
2000
IEEE
137views Communications» more  ICC 2000»
15 years 8 months ago
Stability of Maximal Size Matching Scheduling in Input-Queued Cell Switches
— 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...
147
Voted
ICPR
2000
IEEE
15 years 8 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
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...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
IJCNN
2000
IEEE
15 years 8 months ago
Unsupervised Learning of Neural Network Ensembles for Image Classification
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...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
INFOCOM
2000
IEEE
15 years 8 months ago
On the Stability of Input-Buffer Cell Switches with Speed-Up
— 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...