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TNN
2010
234views Management» more  TNN 2010»
15 years 27 days ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
INFOCOM
1996
IEEE
15 years 10 months ago
Latency-Rate Servers: A General Model for Analysis of Traffic Scheduling Algorithms
In this paper, we develop a general model, called Latency-Rate servers (LR servers), for the analysis of traffic scheduling algorithms in broadband packet networks. The behavior of...
Dimitrios Stiliadis, Anujan Varma
NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 6 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
15 years 11 months ago
Trust Estimation in autonomic networks: a statistical mechanics approach
— Trust management, broadly intended as the ability to maintain belief relationship among entities, is recognized as a fundamental security challenge for autonomous and selforgan...
Stefano Ermon, Luca Schenato, Sandro Zampieri
WICON
2008
15 years 7 months ago
Stability regions of two-way relaying with network coding
We consider a pair of nodes with stochastic traffic flows who wish to communicate in a bi-directional communication scenario using intermediate relays in two-hop fashion. Intermed...
Ertugrul Necdet Ciftcioglu, Aylin Yener, Randall B...