Lernende Systeme/Machine Learning (WS 2009/2010)

General Information

  • For a general course description please read the corresponding pages from the WIAI module guide.
  • You find administrative information at UnivIS.
  • Participants should sign up for the course in the virtual campus.

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 [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. Kernel Methods  [PDF]
  10. Bayesian Learning [PDF]
  11. Computational Learning Theory [PDF]
  12. Reinforcement Learning [PDF]
  13. Inductive Program Synthesis [PDF]
  14. Analytical Learning [PDF]
  15. Further Topics in and Applications of Machine Learning

Course Archive

[WS 04/05] [SS 05] [WS 05/06] [WS 06/07] [<link kogsys/teaching/archiv/ws0708/lernende_systeme/ - extern>WS 07/08</link>] [<link kogsys/teaching/archiv/ws0809/lernende_systeme/ - extern>WS 08/09</link>]