392241 Probabilistic Models of time series data (S) (WiSe 2016/2017)
Contents, comment
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Building upon the lecture "Reasoning and Decision Making under Uncertainty", in this seminar we will explore advanced techniques to model time-varying data and processes. We will focus on generative models that allow for recognition and prediction, for example HMMs, Dynamic Bayesian Networks, Gaussian Processes, Temporal AND/OR trees, Boltzmann Machines, Stochastic Grammars.
Requirements for participation, required level
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Lecture "Reasoning and Decision Making unter Uncertainty"
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-KR Cognitive Computing / Kognitives Rechnen | Angewandtes Kognitives Rechnen | Student information | |
| 39-M-Inf-VKI Vertiefung Künstliche Intelligenz | Spezielle Themen der Künstlichen Intelligenz | Graded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- Registered number: 20
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- WS2016_392241@ekvv.uni-bielefeld.de
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- 3 Students to be reached directly via email
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- Last update basic details/teaching staff:
- Thursday, October 6, 2016
- Last update times:
- Friday, July 15, 2016
- Last update rooms:
- Friday, July 15, 2016
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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