SummerML 2014 - PhD Summer School on Machine Learning
Topics/Call fo Papers
02901 Advanced Topics in Machine Learning
August 25-29, 2014 at the Section for Cognitive Systems, DTU Compute
Description
The course consists of five days (Mon-Friday) of lectures and exercises on key topics in machine learning. The course (2.5 ects point) is passed by handing in a small report on one of the topics covered in the course. The course will cover key topics in machine learning including probabilistic multivariate modeling and Bayesian inference. The exercises cover both theoretical, technical programming and application aspects. It will be up to the students to decide on what aspects to focus on in the report. Specific machine learning application examples are used throughout the entire week. For further course details click here.
Location
Technical University of Denmark, DTU Compute, building 421 room 73.
Hours
9AM-5PM every day August 25th-29th, 2014
Lecturers
Lectures will be given by invited speakers and staff at the Section for Cognitive Systems.
Confirmed speakers
Michael A. Osborne, University of Oxford
Ryota Tomioka, Toyota Technological Institute at Chicago
Marcel Van Gerven, Radboud University Nijmegen
Søren Hauberg, DTU Compute, Section for Cognitive Systems
Mikkel N. Schmidt, DTU Compute, Section for Cognitive Systems
Morten Mørup, DTU Compute, Section for Cognitive Systems
Ole Winther, DTU Compute, Section for Cognitive Systems
Lars Kai Hansen, DTU Compute, Section for Cognitive Systems
Requirements
As preparation for the course we recommend reading the book by Christopher M. Bishop "Pattern Recognition and Machine Learning", Springer 2006 (chapter 1-6 and 9). The course requires basic Matlab programming skills.
Lecture schedule
TBA
Reqistration
To register please send an email to Wanja Andersen waan-AT-dtu.dk.
Practical information
For practical information regarding transportation and accommodation click here.
For further information, please contact:
Associate Professor, Ph.D. Morten Mørup, e-mail: mmor-AT-dtu.dk, Phone: +45 45253900
Associate Professor, Ph.D. Mikkel N. Schmidt, e-mail: mnsc-AT-dtu.dtu.dk, Phone: +45 45253895
Associate Professor, Ph.D. Ole Winther, e-mail: olwi-AT-dtu.dk, Phone: +45 45253895
Professor, Ph.D. Lars Kai Hansen, e-mail: lkai-AT-dtu.dk, Phone: +45 45253889
DTU Compute, Section for Cognitive Systems, Building 321, 1. floor.
August 25-29, 2014 at the Section for Cognitive Systems, DTU Compute
Description
The course consists of five days (Mon-Friday) of lectures and exercises on key topics in machine learning. The course (2.5 ects point) is passed by handing in a small report on one of the topics covered in the course. The course will cover key topics in machine learning including probabilistic multivariate modeling and Bayesian inference. The exercises cover both theoretical, technical programming and application aspects. It will be up to the students to decide on what aspects to focus on in the report. Specific machine learning application examples are used throughout the entire week. For further course details click here.
Location
Technical University of Denmark, DTU Compute, building 421 room 73.
Hours
9AM-5PM every day August 25th-29th, 2014
Lecturers
Lectures will be given by invited speakers and staff at the Section for Cognitive Systems.
Confirmed speakers
Michael A. Osborne, University of Oxford
Ryota Tomioka, Toyota Technological Institute at Chicago
Marcel Van Gerven, Radboud University Nijmegen
Søren Hauberg, DTU Compute, Section for Cognitive Systems
Mikkel N. Schmidt, DTU Compute, Section for Cognitive Systems
Morten Mørup, DTU Compute, Section for Cognitive Systems
Ole Winther, DTU Compute, Section for Cognitive Systems
Lars Kai Hansen, DTU Compute, Section for Cognitive Systems
Requirements
As preparation for the course we recommend reading the book by Christopher M. Bishop "Pattern Recognition and Machine Learning", Springer 2006 (chapter 1-6 and 9). The course requires basic Matlab programming skills.
Lecture schedule
TBA
Reqistration
To register please send an email to Wanja Andersen waan-AT-dtu.dk.
Practical information
For practical information regarding transportation and accommodation click here.
For further information, please contact:
Associate Professor, Ph.D. Morten Mørup, e-mail: mmor-AT-dtu.dk, Phone: +45 45253900
Associate Professor, Ph.D. Mikkel N. Schmidt, e-mail: mnsc-AT-dtu.dtu.dk, Phone: +45 45253895
Associate Professor, Ph.D. Ole Winther, e-mail: olwi-AT-dtu.dk, Phone: +45 45253895
Professor, Ph.D. Lars Kai Hansen, e-mail: lkai-AT-dtu.dk, Phone: +45 45253889
DTU Compute, Section for Cognitive Systems, Building 321, 1. floor.
Other CFPs
Last modified: 2014-02-28 23:31:36