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Home > Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I > A Machine Learning Approach to Define Weights for Linear Combination of Forecasts
Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I |
Stefanos D. Kollias; Andreas Stafylopatis; Włodzisław Duch; Erkki Oja
Springer Berlin Heidelberg
Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts
Authors

Ricardo Prudêncio; Teresa Ludermir

ARI Id

1674219880767_3544918

Access

Not Available Free

Pages

274-283

DOI

10.1007/11840817_29

Chapter URL

https://rd.springer.com/chapter/10.1007/11840817_29

Table of Contents of Book
Showing 1 to 20 of 105 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Dimensionality Reduction Based on ICA for Regression Problems
Nojun Kwak; Chunghoon Kim
1-10
A Functional Approach to Variable Selection in Spectrometric Problems
Fabrice Rossi; Damien François; Vincent Wertz; Michel Verleysen
11-20
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm
Marek Kurzynski; Edward Puchala; Aleksander Rewak
21-30
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis
Gert Van Dijck; Marc M. Van Hulle
31-40
Effective Input Variable Selection for Function Approximation
L. J. Herrera; H. Pomares; I. Rojas; M. Verleysen; A. Guilén
41-50
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network
Lei Shi; Lei Xu
51-60
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition
Simei Gomes Wysoski; Lubica Benuskova; Nikola Kasabov
61-70
Learning Long Term Dependencies with Recurrent Neural Networks
Anton Maximilian Schäfer; Steffen Udluft; Hans Georg Zimmermann
71-80
Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition
Spiros Ioannou; Loic Kessous; George Caridakis; Kostas Karpouzis; Vered Aharonson; Stefanos Kollias
81-92
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Study
V. Scesa; P. Henaff; F. B. Ouezdou; F. Namoun
93-102
Framework for the Interactive Learning of Artificial Neural Networks
Matúš Užák; Rudolf Jakša
103-112
Analytic Equivalence of Bayes a Posteriori Distributions
Takeshi Matsuda; Sumio Watanabe
113-121
Neural Network Architecture Selection: Size Depends on Function Complexity
Iván Gómez; Leonardo Franco; José L. Subirats; José M. Jerez
122-129
Competitive Repetition-suppression (CoRe) Learning
Davide Bacciu; Antonina Starita
130-139
Real-Time Construction of Neural Networks
Kang Li; Jian Xun Peng; Minrui Fei
140-149
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation
Daniel Schneegaß; Kai Labusch; Thomas Martinetz
150-158
A Variational Formulation for the Multilayer Perceptron
Roberto Lopez; Eugenio Oñate
159-168
Natural Conjugate Gradient Training of Multilayer Perceptrons
Ana González; José R. Dorronsoro
169-177
Building Ensembles of Neural Networks with Class-Switching
Gonzalo Martínez-Muñoz; Aitor Sánchez-Martínez; Daniel Hernández-Lobato; Alberto Suárez
178-187
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 105 entries
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