Foundations of Computational Intelligence Volume 5 : Function Approximation and Classification /
| Corporate Author: | |
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
205 |
| Subjects: |
Table of Contents:
- 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.