In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
In this paper, a new type of Petri net called Hierarchical Colored Hardware Petri net, to model real-delay switching activity for power estimation is proposed. The logic circuit i...
In recent times, much attention has been devoted to power optimization for real-time systems, while guaranteeing that such systems meet their hard (or soft) scheduling deadlines. ...
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...