Fakultät Wirtschaftsinformatik und Angewandte Informatik

Angewandte Informatik / Kognitive Systeme

Lernende Systeme/Machine Learning (WS 2012/2013)

General Information

Recommended Reading / Links

Recommended textbook:

Relevant links:

Lecture Notes

  1. Basic Concepts of Machine Learning [pdf]
  2. Foundations of Concept Learning [pdf]
  3. Decision Trees, Avoiding Overfitting [pdf]
  4. Perceptrons and Multilayer-Perceptrons [pdf]
  5. Human Concept Learning [pdf]
  6. Inductive Logic Programming [pdf]
  7. Genetic Algorithms / Genetic Programming [pdf]
  8. Instance-based Learning [pdf]
  9. Bayesian Learning [pdf]
  10. Kernel Methods, Support Vector Machines [pdf]
  11. Hidden Markov Models
  12. Reinforcement Learning [pdf]
  13. Inductive Program Synthesis [pdf]
  14. Learning in Graphical Models
  15. Unsupervised Learning (Clusteranalysis)
  16. Further Topics in and Applications of Machine Learning

Course Archive

[WS 04/05] [SS 05] [WS 05/06] [WS 06/07] [WS 07/08] [WS 08/09] [ WS 09/10]  [ WS 10/11]  [ WS 11/12