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» Training Multi-layer Perceptrons Using MiniMin Approach
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MCS
2004
Springer
14 years 3 months ago
High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers
Recent works about perceptron-based fusion of multiple fingerprint matchers showed the effectiveness of such approach in improving the performance of personal identity verification...
Gian Luca Marcialis, Fabio Roli
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 3 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
IWANN
2005
Springer
14 years 3 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
TNN
2010
234views Management» more  TNN 2010»
13 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
LREC
2010
206views Education» more  LREC 2010»
13 years 11 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz