392125 Vertiefung Maschinelles Lernen (V) (WiSe 2009/2010)

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

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 8-10 U2-135 12.10.2009-05.02.2010
not on: 12/29/09 / 1/5/10

Hide passed dates <<

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. 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. 3. 3.5 benotet  

No more requirements
No eLearning offering available
Address:
WS2009_392125@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_12980931@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:
Friday, June 19, 2009 
Last update rooms:
Monday, August 10, 2009 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
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=12980931
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
12980931