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Foundations of Computational Intelligence Volume 5

Foundations of Computational Intelligence Volume 5

Function Approximation and Classification

by Václav SnáselAjith Abraham and Aboul-Ella Hassanien
Paperback
Publication Date: 28/10/2014

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Function Approximation and Classification: Theoretical Foundations.- Feature Selection for Partial Least Square Based Dimension Reduction.- Classification by the Use of Decomposition of Correlation Integral.- Investigating Neighborhood Graphs for Inducing Density Based Clusters.- Some Issues on Extensions of Information and Dynamic Information Systems.- A Probabilistic Approach to the Evaluation and Combination of Preferences.- Use of the q-Gaussian Function in Radial Basis Function Networks.- Function Approximation and Classification: Success Stories and Real World Applications.- Novel Biomarkers for Prostate Cancer Revealed by (?, ?)-k-Feature Sets.- A Tutorial on Multi-label Classification Techniques.- Computational Intelligence in Biomedical Image Processing.- A Comparative Study of Three Graph Edit Distance Algorithms.- Classification of Complex Molecules.- Intelligent Finite Element Method and Application to Simulation of Behavior of Soils under Cyclic Loading.- An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction.- Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method
ISBN:
9783642424397
9783642424397
Category:
Applied mathematics
Format:
Paperback
Publication Date:
28-10-2014
Language:
English
Publisher:
Springer
Country of origin:
United States
Dimensions (mm):
235x155mm
Weight:
0.6kg

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