Laboratory of Computer and Information Science / Neural Networks Research Centre CIS Lab Helsinki University of Technology

T-61.6010 / Schedule

Time Topic Sections / Chapter Lecturer Slides
11.9. Introduction   Antti Honkela PDF
18.9. Regression 2 - 2.2 Sami Hanhijärvi PDF
2.3 - 2.7 Joni Pajarinen PDF
25.9. Classification (1) 3 - 3.3 Jaakko Väyrynen PDF
2.10. Classification (2) 3.4 - 3.5 Gramme Pierre PDF
3.6 - 3.7 Dmitrij Lagutin PPT
9.10. Covariance Functions 4 Mikko Korpela PDF
16.10. Model Selection and Adaptation of Hyperparameters 5 Ulpu Remes PDF
23.10. Approximation Methods 8 Jarkko Ylipaavalniemi PDF
24.10. Deadline for 1st round of exercises
30.10. No lecture due to exam period
6.11. Relationships to Other Models 6 Markus Harva PDF
13.11. Unsupervised Methods
(Gaussian Process Latent Variable Models) (Article in JMLR)
  Tero Tapiovaara PPT
20.11.        
27.11.        
4.12.        
5.12. Deadline for 2nd round of exercises
11.12. Exercise review   Sami Hanhijärvi  
13.1.2007 Project deadline

Note that the lecture slides can only be downloaded from TKK network.

Practical Issues

For more information, please send email to the course organisers (t616010 (at) cis.hut.fi).

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