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IJCNN
2006
IEEE
15 years 8 months ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
DANCE
2002
IEEE
15 years 7 months ago
Maude as a Wide-Spectrum Framework for Formal Modeling and Analysis of Active Networks
Modeling and formally analyzing active network systems and protocols is quite challenging, due to their highly dynamic nature and the need for new network models. We propose a wid...
José Meseguer, Peter Csaba Ölveczky, M...
ICANN
2001
Springer
15 years 6 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
CCS
2007
ACM
15 years 8 months ago
Toward measuring network security using attack graphs
In measuring the overall security of a network, a crucial issue is to correctly compose the measure of individual components. Incorrect compositions may lead to misleading results...
Lingyu Wang, Anoop Singhal, Sushil Jajodia
IJCAI
2003
15 years 3 months ago
Artificial Neural Network for Sequence Learning
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
Sorin Moga, Philippe Gaussier