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IJON
2008
88views more  IJON 2008»
15 years 6 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...
NETWORK
2006
96views more  NETWORK 2006»
15 years 6 months ago
A wireless biosensor network using autonomously controlled animals
Recent research shows that animals can be guided remotely by stimulating regions of the brain. Therefore, it is possible to set up an animal wireless sensor network for search and...
Yihan Li, Shivendra S. Panwar, Shiwen Mao
JUCS
2010
157views more  JUCS 2010»
15 years 5 months ago
Entropy Optimization of Social Networks Using an Evolutionary Algorithm
: Recent work on social networks has tackled the measurement and optimization of these networks’ robustness and resilience to both failures and attacks. Different metrics have be...
Maytham Safar, Nosayba El-Sayed, Khaled Mahdi, Dav...
VLDB
2007
ACM
115views Database» more  VLDB 2007»
16 years 6 months ago
NS2: Networked Searchable Store with Correctness
In an outsourced data framework, we introduce and demonstrate mechanisms for securely storing a set of data items (documents) on an un-trusted server, while allowing for subsequen...
Radu Sion, Sumeet Bajaj, Bogdan Carbunar, Stefan K...
CIDM
2009
IEEE
16 years 1 months ago
A new hybrid method for Bayesian network learning With dependency constraints
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
Oliver Schulte, Gustavo Frigo, Russell Greiner, We...