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Veranstaltungen im Sommersemester 2016 / Praktikum: Machinelles Lernen & Künstliche Intelligenz
Abstract

In this praktikum we will cover practical topics from the area of optimization techniques covered in last terms lecture. Praktikum will also cover the understanding of the differences between the methods and analyzing the conditions in which a method is more suitable than others.

The students will get an optimization problem for which they try to find and implement a suitable method to solve this problem.

  • Students are encouraged to make groups of 2-3.
  • Implementation should be done in java or MATLAB.
Organization:
  • Groups can start immediately.
  • Each group is supposed to give at least two presentations with a final presentation of the whole work.
  • Weekly or biweekly updates/discussions on the progress of selected problem

Start: We start off on Monday, 11.04.2016. We make groups and issue problems to work on.

Betreuer: Lydia Voß
 
Praktikum:
Zeit: Mo 14-18
Ort: B26
Beginn: 11.04.2016
Zuordnung:MSc WI & IMIT
 
Abgabe:
Zeit:
Ort:
 
Mehr:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Voheriger Durchlauf:here