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Multivariate and Nonlinear Models

Prof. Dr. Oliver Wendt

Sarah Wegmann

 

WT 2016/17

WIW-KM-MNM-V-6

Room: 42/421a

Time: Thursday, 11:45 am - 01:15 pm

 

Start: 27.10.2016



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.

 


Data:

HBAT

HBAT200