392021 Vertiefung Maschinelles Lernen (V+Ü) (WiSe 2007/2008)
Short comment
- entfällt ab sofort wegen mangelnder Teilnahme
Contents, comment
-
Aufbauend auf dem Modul "Neuronale Netze und Lernen" werden die dort betrachteten Lernverfahren einer genaueren theoretischen Betrachtung unterzogen - insbesondere aus statistischer Sicht. Desweiteren werden verschiedene Lernarchitekturen, insbesondere Komitee-Verfahren sowie reinforcement-Lernen behandelt.
Requirements for participation, required level
-
Die Vorlesung wendet sich an einschlägig interessierte Studenten der Informatik, Mathematik und Linguistik im Hauptstudium. Neuronale Netze und Lernen
Teaching staff
Subject assignments
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Intelligente Systeme / Master | (Enrollment until SoSe 2012) | Vertiefung Maschinelles Lernen | Wahlpflicht | 1. 3. | 5 | benotet | |
| Naturwissenschaftliche Informatik / Diplom | (Enrollment until SoSe 2004) | Robotik; Physik; Biologie; NNet; ME | HS | ||||
| Naturwissenschaftliche Informatik / Master | (Enrollment until SoSe 2012) | Vertiefung Maschinelles L | Wahlpflicht | 1. | 5 | benotet |
No more requirements
No eLearning offering available
- Address:
- WS2007_392021@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_4928111@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Thursday, September 26, 2013
- Last update rooms:
- Wednesday, April 16, 2008
- Type(s) / SWS (hours per week per semester)
- lecture (V) + exercise (Ü) / 2+1
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=4928111
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 4928111
Top of page