Multivariate and Nonlinear Models
Prof. Dr. Oliver Wendt
Time: Thursday, 11:45 am - 01:15 pm
Analysis and Learning of (non)linear Relations from Data.
Multivariate Nonlinear Models:
- Data Analysis and Graphical Presentation
- Artificial Neural Networks
- Kernel-based Estimators and Support Vector Machines
The lecture provides an overview of problems and state-of-the-art techniques of generalizing models from (small or large) data sets with known or unknown hypotheses regarding the underlying functional dependencies. Data sets from various application domains are analyzed and appropriate software tools introduced.