252-5051-00L  Advanced Topics in Machine Learning

SemesterAutumn Semester 2018
LecturersJ. M. Buhmann, A. Krause, G. Rätsch
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 40.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.



Catalogue data

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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersJ. M. Buhmann, A. Krause, G. Rätsch
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThe deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.

Learning materials

 
Main linkSeminar website
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16-18CAB G 56 »
Thu16-18CAB G 57 »
J. M. Buhmann, A. Krause, G. Rätsch

Groups

No information on groups available.

Restrictions

General : Special students and auditors need a special permission from the lecturers
Places40 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupRobotics, Systems and Control MSc (159000)
Data Science MSc (261000)
Computer Science MSc (263000)
CAS ETH in Computer Science (269000)
Computer Science (Mobility) (274000)
Statistics MSc (436000)
Waiting listuntil 03.10.2018

Offered in

ProgrammeSectionType
CAS in Computer ScienceSeminarsWInformation
Data Science MasterSeminarWInformation
Computer Science MasterSeminar in General StudiesWInformation
Computer Science MasterSeminar in Information SystemsWInformation
Computer Science MasterSeminar in Visual ComputingWInformation
Robotics, Systems and Control MasterCore CoursesWInformation
Statistics MasterSeminar or Semester PaperWInformation