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» Probabilistic Neural Network Models for Sequential Data
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ICANN
2009
Springer
14 years 19 days ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
IJCNN
2006
IEEE
14 years 2 months ago
An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
Paulo Vinicius Wolski Radtke, Tony Wong, Robert Sa...
IJCNN
2006
IEEE
14 years 2 months ago
Predicting Juvenile Diabetes from Clinical Test Results
—Two approaches to building models for prediction of the onset of Type 1 diabetes mellitus in juvenile subjects were examined. A set of tests performed immediately before diagnos...
Shibendra S. Pobi, Lawrence O. Hall
NN
2002
Springer
13 years 7 months ago
Dopamine-dependent plasticity of corticostriatal synapses
Knowledge of the effect of dopamine on corticostriatal synaptic plasticity has advanced rapidly over the last 5 years. We consider this new knowledge in relation to three factors ...
John N. J. Reynolds, Jeffery R. Wickens
RECOMB
2005
Springer
14 years 8 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...