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» On the Use of Evidence in Neural Networks
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TNN
2010
121views Management» more  TNN 2010»
14 years 8 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
GECCO
2003
Springer
15 years 7 months ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
NECO
2007
51views more  NECO 2007»
15 years 1 months ago
Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
In a recent paper Prinz et al. (Nature Neurosci. 7, 1345-52 (2004)) have addressed the fundamental question, whether neural systems are built with a fixed blueprint of tightly con...
Thomas Nowotny, Attila Szücs, Rafael Levi, Al...
BMCBI
2008
123views more  BMCBI 2008»
15 years 2 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
TSMC
2008
164views more  TSMC 2008»
15 years 1 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...