On this web page, information on the course 'Advanced Topics in Machine Learning' (winter term 2008/2009) is provided. This course deals with selected advanced topics of Machine Learning. This includes:

• SVMs
• Semi-supervised learning (semi-supervised classification and clustering)
• Dealing with massive datasets

Prerequisites for attending this course is basic knowledge of computer science and especially in Machine Learning. Programming skills are an advantage concerning the pratical exercises.

Further information about this course can be found in the  Univis.

If you have any questions concerning the lectures or assignments please contact (if possible by email)

• Andreas Nürnberger
  email:  andreas.nuernberger@ovgu.de
• Korinna Bade
  email:  korinna.bade@ovgu.de

The exercise classes have two objectives. First, assignments concerning the theory taught in the lecture will be given (about one week in advance). These have to be prepared by the students and are then discussed during class. Secondly, the lecture will be accompanied by a software project, in which we try to implement some ideas into a larger system. This will be done as a joint group work. The development will partly be done during the exercise classes. However, further development outside the class might be necessary to complete the project. We expect active involvement of all students, both in the project and the theoretical assignments.

At the end of the course, there will be an oral exam. As a prerequisite, we expect active involvement in the exercise classes.

We will provide lecture slides, assignment sheets, and further material during the course.

Lecture Slides

• Course Information
• Fundamentals
• SVMs Part 1
• Computational Learning Theory
• SVMs Part 2
• Constrained Clustering
• Semi-Supervised Learning
  
• Markov Modells
• Massive Datasets
• Genetic Algorithms

Exercise Material

• Assignment Sheet 1
• Minutes of exercise class 1
• Challenge with task description and data
• Paper with evaluation measures
• Assignment Sheet 2
• Minutes of exercise class 2
• Description of where to get the code and how to use it
• Assignment Sheet 3
• Assignment Sheet 4
• Assignment Sheet 5
• Assignment Sheet 6
• Assignment Sheet 7
• Assignment Sheet 8
• Assignment Sheet 9
• Assignment Sheet 10
• Assignment Sheet 11

Further Material

• SVM Tutorial
• Semi-Supervised Learning Literature Survey
• Learning with labeled and unlabeled data
• A paper on constrained fuzzy clustering

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last modified: 28.01.2009 - contact person: E-Mail  Webmaster