August 16-20, 2010, DTU Informatics, Cognitive Systems
Theme: Probabilistic multivariate modeling and Bayesian inference
Faculty: Mikkel N. Schmidt, Ole Winther, Morten Mørup and Lars Kai Hansen
Place: Seminar Room 053 – IMM building 321
Hours: 09.30 – 17.00
Course description:
The course consists of four days (Mon-Thursday) of morning lecture+exercises and afternoon exercises. The last day (Friday) will have exercises in the morning and student presentation in the afternoon. The course (2.5 ects point) is passed with either a presentation or a report. The running theme of course will be probabilistic multivariate modeling and Bayesian inference. The exercises covers both theoretical, technical programming and application aspects. It will be up to the students to decide on what aspects to focus on. Specific machine learning application examples are used throughout the entire week.
Program:
Day 1: Introduction to Bayesian inference
Teacher: Mikkel N. Schmidt
Day 2: Factor Modeling
Teacher: Ole Winther
Day 3: Mining Graphs by Relational Modeling
Teacher: Morten Mørup
Day 4: Manifold learning and visualization with kernels
Teacher: Lars Kai Hansen
Link to full program (with reading material notes)
Slides and exercises:
Day 1: Slides, exercises
Day 2: Slides, exercises
Day 3: Slides, exercises
Day 4: Slides, exercises
Relevant articles:
The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework, NeuroImage 15, 747–771 (2002), Stephen C. Strother, et al.
The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics, NeuroImage 18, 10–27 (2003), Stephen LaConte, et al.
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics, Neural Computation 20, 738–755 (2008), Daniel J. Jacobsen, et al.
Learning Systems of Concepts with an Infinite Relational Model, In Artificial Intelligence, Proceedings of the National AAAI Conference on (2006), Charles Kemp, et al.
Previous years:
2008 course
2007 course
2006 course
For registration
Fill out this form online: http://www.dtu.dk/English/education/Guest_%20Phd-student/Registration.aspx,
and contact coordinator Sine Ingemann, , +45 45253909 no later than one week prior to the beginning of the course.
For further information, please contact
Associate Professor, Ph.D. Ole Winther,
e-mail: ,
Phone: +45 45253895
Professor, Ph.D. Lars Kai Hansen,
e-mail: ,
Phone: +45 45253889
DTU Informatics, Section for Cognitive Systems, Building 321, 1. floor.