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WSC
2008
15 years 4 months ago
Measuring the effectiveness of the s-metric to produce better network models
Recent research has shown that while many complex networks follow a power-law distribution for their node degrees, it is not sufficient to model these networks based only on their...
Isabel Beichl, Brian Cloteaux
ICML
1996
IEEE
16 years 3 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
IJCNN
2006
IEEE
15 years 8 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma
SAPIR
2004
Springer
15 years 7 months ago
Software Modeling for Open Distributed Network Monitoring Systems
Abstract. As computer networks grow in size, both physically and geographically, more scalable solutions to network administration are becoming necessary. This need is amplified by...
Jacob W. Kallman, Pedrum Minaie, Jason Truppi, Ser...
IJCNN
2007
IEEE
15 years 8 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz