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Overview

Credits: SWS : 2, Credits 4

Participants: Min: 1 Max: 12 Expected: 12

Course type : Seminar

Language: english

Slides

The slides for this seminar can be downloaded here.

Description

In this seminar we will review the main machine learning methods used in the filed of Bioinformatics and Medicine  and we will look at various prediction problems in several biological and medical domains. The selected papers cover both supervised and unsupervised classical approaches, issues with feature selection and model evaluation, as well as some applications of more advanced methods, such as semi-supervised learning and deep learning. Literature suggestions will be provided, but additional independent literature research and independent working by seminar participants is expected.

A sucessful participation of the seminar includes:

  • Presentation (25 min + 5 min Q&A)
  • Written paper (8-10 pages.)

Important

Registration via StudIS required.

Preliminary discussion of the topics: Di 04/12/2016, 10:00 - 11:30 am in room M1101