E-Book, Englisch, Band 205, 376 Seiten, eBook
Function Approximation and Classification
E-Book, Englisch, Band 205, 376 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-01536-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.