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IFIP12
2008
15 years 7 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
CCR
2000
111views more  CCR 2000»
15 years 5 months ago
Analysis of errors in network load measurements
The paper identifies elements in network monitoring systems that cause errors in the load measurements found in recent reports on network statistics from an academic backbone netw...
Stanislav Belenki, Sven Tafvelin
CIC
2004
106views Communications» more  CIC 2004»
15 years 7 months ago
Some Properties of Swapped Interconnection Networks
Interconnection architectures range from complete networks, that have a diameter of D = 1 but are impractical except when the number n of nodes is small, to low-cost, minimally co...
Behrooz Parhami
RIVF
2008
15 years 7 months ago
Robust overlay network with Self-Adaptive topology: Protocol description
We introduce a new overlay network named ROSA1 . Overlay networks offer a way to bypass the routing constraints of the underlying network. ROSA used this overlay network property t...
Loic Baud, Nguyen Pham, Patrick Bellot
IJON
2008
88views more  IJON 2008»
15 years 5 months ago
Neural network construction and training using grammatical evolution
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...