Foundations of Computational Intelligence Volume 5: Function Approximation and Classification

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

• Format: Paperback
• Language: English
• ISBN: 3642424392
• ISBN13: 9783642424397
• Release Date: October 2014
• Publisher: Springer
• Length: 376 Pages
• Weight: 1.21 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"