Andreas Krause: Katalogdaten im Herbstsemester 2012

Auszeichnung: Die Goldene Eule
NameHerr Prof. Dr. Andreas Krause
LehrgebietInformatik
Adresse
Institut für Maschinelles Lernen
ETH Zürich, OAT Y 13.1
Andreasstrasse 5
8092 Zürich
SWITZERLAND
Telefon+41 44 632 63 22
Fax+41 44 623 15 62
E-Mailkrausea@ethz.ch
URLhttp://las.ethz.ch/krausea.html
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
263-5210-00LProbabilistic Artificial Intelligence Information 4 KP2V + 1UA. Krause
KurzbeschreibungThis course introduces core modeling techniques and algorithms from statistics, optimization, planning, and control and study applications in areas such as sensor networks, robotics, and the Internet.
LernzielHow can we build systems that perform well in uncertain environments and unforeseen situations? How can we develop systems that exhibit "intelligent" behavior, without prescribing explicit rules? How can we build systems that learn from experience in order to improve their performance? We will study core modeling techniques and algorithms from statistics, optimization, planning, and control and study applications in areas such as sensor networks, robotics, and the Internet. The course is designed for upper-level undergraduate and graduate students.
InhaltTopics covered:
- Search (BFS, DFS, A*), constraint satisfaction and optimization
- Tutorial in logic (propositional, first-order)
- Probability
- Bayesian Networks (models, exact and approximative inference, learning) - Temporal models (Hidden Markov Models, Dynamic Bayesian Networks)
- Probabilistic palnning (MDPs, POMPDPs)
- Reinforcement learning
- Combining logic and probability
Voraussetzungen / BesonderesSolid basic knowledge in statistics, algorithms and programming