Lernende Systeme/Machine Learning (WS 2008/2009)
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:
- Tom Mitchell: Machine Learning, McGraw Hill, 1997.
Relevant links:
- Machine Learning Eintrag bei aaai.org
- Machine Learning Abschnitt bei AI on the Web
- UCI Machine Learning Repository
Lecture Notes
- Basic Concepts of Machine Learning [PDF]
- Foundations of Concept Learning [PDF]
- Decision Trees [PDF]
- Perceptrons and Multilayer-Perceptrons [PDF]
- Human Concept Learning [PDF]
- Inductive Logic Programming [PDF]
- Genetic Algorithms / Genetic Programming [PDF]
- Instance-based Learning [PDF]
- Kernel Methods [PDF]
- Bayesian Learning [PDF]
- Computational Learning Theory [PDF]
- Reinforcement Learning [PDF]
- Inductive Program Synthesis [PDF]
- Analytical Learning [PDF]
- Further Topics in and Applications of Machine Learning [PDF]
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>]