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» An Artificial Chemistry for Networking
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CEC
2007
IEEE
16 years 1 months ago
A genetic algorithm for solving the binning problem in networked applications detection
Network administrators need a tool that detects the kind of applications running on their networks, in order to allocate resources and enforce security policies. Previous work sho...
Maxim Shevertalov, Edward Stehle, Spiros Mancoridi...
MICAI
2007
Springer
16 years 29 days ago
Optimizing Inference in Bayesian Networks and Semiring Valuation Algebras
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
Michael Wachter, Rolf Haenni, Marc Pouly
IJCNN
2006
IEEE
16 years 26 days ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
AUSAI
2005
Springer
16 years 11 days ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
WIRN
2005
Springer
16 years 9 days ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...