Gunnar Rätsch: Catalogue data in Autumn Semester 2016

Name Prof. Dr. Gunnar Rätsch
FieldBiomedical
Address
Professur für Biomedizininformatik
ETH Zürich, CAB F 53.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telephone+41 44 632 20 36
E-mailraetsch@inf.ethz.ch
URLhttp://bmi.inf.ethz.ch
DepartmentComputer Science
RelationshipFull Professor

NumberTitleECTSHoursLecturers
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details 2 credits2SJ. M. Buhmann, T. Hofmann, A. Krause, G. Rätsch
AbstractIn this seminar, recent papers of the pattern recognition and machine learning literature are presented and discussed. Possible topics cover statistical models in computer vision, graphical models and machine learning.
ObjectiveThe seminar "Advanced Topics in Machine Learning" familiarizes students with recent developments in pattern recognition and machine learning. Original articles have to be presented and critically reviewed. The students will learn how to structure a scientific presentation in English which covers the key ideas of a scientific paper. An important goal of the seminar presentation is to summarize the essential ideas of the paper in sufficient depth while omitting details which are not essential for the understanding of the work. The presentation style will play an important role and should reach the level of professional scientific presentations.
ContentThe seminar will cover a number of recent papers which have emerged as important contributions to the pattern recognition and machine learning literature. The topics will vary from year to year but they are centered on methodological issues in machine learning like new learning algorithms, ensemble methods or new statistical models for machine learning applications. Frequently, papers are selected from computer vision or bioinformatics - two fields, which relies more and more on machine learning methodology and statistical models.
LiteratureThe papers will be presented in the first session of the seminar.