Foundations of Computational Intelligence Volume 5 Function Approximation and Classification /
Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mathematics.The need for function approximation and classi...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Σειρά: | Studies in Computational Intelligence,
205 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
