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Foundations of Computational Intelligence Volume 5

Overview of attention for book
Cover of 'Foundations of Computational Intelligence Volume 5'

Table of Contents

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    Book Overview
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    Chapter 1 Feature Selection for Partial Least Square Based Dimension Reduction
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    Chapter 2 Classification by the Use of Decomposition of Correlation Integral
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    Chapter 3 Investigating Neighborhood Graphs for Inducing Density Based Clusters
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    Chapter 4 Some Issues on Extensions of Information and Dynamic Information Systems
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    Chapter 5 A Probabilistic Approach to the Evaluation and Combination of Preferences
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    Chapter 6 Use of the q -Gaussian Function in Radial Basis Function Networks
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    Chapter 7 Novel Biomarkers for Prostate Cancer Revealed by (α,β)-k-Feature Sets
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    Chapter 8 A Tutorial on Multi-label Classification Techniques
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    Chapter 9 Computational Intelligence in Biomedical Image Processing
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    Chapter 10 A Comparative Study of Three Graph Edit Distance Algorithms
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    Chapter 11 Classification of Complex Molecules
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    Chapter 12 Foundations of Computational Intelligence Volume 5
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    Chapter 13 An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction
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    Chapter 14 Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method
Attention for Chapter 5: A Probabilistic Approach to the Evaluation and Combination of Preferences
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Citations

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Chapter title
A Probabilistic Approach to the Evaluation and Combination of Preferences
Chapter number 5
Book title
Foundations of Computational Intelligence Volume 5
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-01536-6_5
Book ISBNs
978-3-64-201535-9, 978-3-64-201536-6
Authors

Annibal Parracho Sant’Anna, Sant’Anna, Annibal Parracho

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Decision Sciences 1 50%
Unknown 1 50%

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