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ESANN
2008
15 years 6 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
METMBS
2003
138views Mathematics» more  METMBS 2003»
15 years 6 months ago
A Stochastic Method for Solving Inverse Problems in Epidemic Modelling
— We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse prob...
Dominik Novotni, Andreas Weber 0004
NA
2010
62views more  NA 2010»
15 years 3 months ago
Noise-reducing cascadic multilevel methods for linear discrete ill-posed problems
Cascadic multilevel methods for the solution of linear discrete ill-posed problems with noise-reducing restriction and prolongation operators recently have been developed for the r...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
ICWE
2009
Springer
15 years 11 months ago
A Layout-Independent Web News Article Contents Extraction Method Based on Relevance Analysis
Abstract. The traditional Web news article contents extraction methods are time-costly and need much maintenance because they analyze the layout of news pages to generate the wrapp...
Hao Han, Takehiro Tokuda
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 10 months ago
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
Hisashi Handa