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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 7 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
JMLR
2010
113views more  JMLR 2010»
14 years 8 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
ESANN
2006
15 years 3 months ago
Diversity creation in local search for the evolution of neural network ensembles
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
Pete Duell, Iris Fermin, Xin Yao
SAC
2008
ACM
15 years 1 months ago
Extending peer-to-peer networks for approximate search
This paper proposes a way to enable approximate queries in a peer-to-peer network by using a special encoding function and error correcting codes. The encoding function maintains ...
Alain Mowat, Roman Schmidt, Michael Schumacher, Io...
ICDCS
2005
IEEE
15 years 7 months ago
Keyword Search in DHT-Based Peer-to-Peer Networks
Existing techniques for keyword/attribute search in structured P2P overlays suffer from several problems: unbalanced load, hot spots, fault tolerance, storage redundancy, and unab...
Yuh-Jzer Joung, Chien-Tse Fang, Li-Wei Yang