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» Inference Algorithms for Similarity Networks
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ISMIS
2005
Springer
15 years 8 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
ESA
2003
Springer
98views Algorithms» more  ESA 2003»
15 years 8 months ago
Network Lifetime and Power Assignment in ad hoc Wireless Networks
In ad-hoc wireless networks, certain network connectivity constraints are of interest because of their practical importance. An example of such a constraint would be strong connec...
Gruia Calinescu, Sanjiv Kapoor, Alexander Olshevsk...
TNN
1998
111views more  TNN 1998»
15 years 2 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 6 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
SYRCODIS
2008
136views Database» more  SYRCODIS 2008»
15 years 4 months ago
Stochastic Approach to Binary Matrix Partitioning for Phylogenetic Networks
In this research we introduce the problem of the binary matrix partitioning in a biological context. Our idea is to use SNP matrix to construct a set of phylogenetic networks to r...
Victoria Kusherbaeva, Nikolay Vyahhi