Artificial Intelligence II – CS5204 T

Content

  • Support Vector Regression
  • Dualization
  • Lagrange Multipliers and Duality
  • Kernel Functions
  • SMO Algorithm
  • Regression
  • Bayesian Regression
  • Genetic Algorithms
  • Neuronal Networks

Qualification-goals / Competencies

  • Gain the ability to choose a method for machine learning for a given application amongst a variety of such methods
  • Adaptation and optimization of the chosen method (the process of customization goes well beyond straight forward search of parameters and involves adjustments to the basic mathematical techniques - this leads to innovative applications for machine learning)
  • Basic understanding of support vector machines

Contact Person

Achim Schweikard
Bldg 64 / Room 97 +49 451 31015200