=== Wednesday, 10.2.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Siamac Fazli'''
 * '''Claudia Sannelli'''
 * '''Duncan Blythe'''
(Chair: Nikolay Jetchev)


=== Wednesday, 03.2.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Matthias Jugel''',
 * '''Christian Gehl''',
 * '''Nils Plath''': A Machine Learning Approach to Hand-Eye Calibration ([[attachment:ML_approach_to_hand-eye-calibration.pdf|slides]])
(Chair: Tobias Lang)

=== Wednesday, 27.1.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Anne Porbadnigk''',
 * '''Marko Ristin''',
(Chair:Marton Danoczy)


=== Wednesday, 20.1.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Bastian Venthur''',
 * '''Stanimir Dragiev''',
 * '''Grégoire Montavon'''
(Chair:Matthias Jugel)


=== Wednesday, 13.1.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Siamac Fazli''',
 * '''Cecilia Maeder''',
 * '''Irene Sturm'''
(Chair:Alexander Binder)



=== Wednesday, 6.1.10 14.15 FR6046 ===

==== Talk invited speaker ====

'''Adam Stanski''',

(Chair: Klaus-Robert Müller)


=== 21.12.09 - 02.01.2010 no lectures ===

=== Wednesday, 16.12.09 14.15 FR6046 ===

==== NIPS Conference Report ====


=== 07.-12.12.09 NIPS ===


=== Wednesday, 02.12.09 14.15 FR6046 ===

==== Research Ideas ====

 * '''Marton Danoczy''',
 * '''Patrick Düssel''',
 * '''Pascal Lehwark'''
(Chair: Christian Gehl)

=== Wednesday, 25.11.09 14.15 FR6046 ===

==== Research Ideas ====

 * '''Alexander Binder''',
 * '''Frank Meinecke''',
 * '''Stefan Haufe'''

(Chair:Pascal Lehwark)


=== Wednesday, 18.11.09 14.15 FR6046 ===
==== Research Ideas ====

 * '''Tammo Krüger''',
 * '''Katja Hansen''',
 * '''Elmar Diederichs'''
(Chair:Felix Bießmann)

=== Wednesday, 11.11.09 14.15 FR6046 ===

==== Research Ideas ====

 * '''Daniel Bartz''',
 * '''Felix Bießmann''',
 * '''Tobias Lang'''
(Chair:Nils Plath)


=== Wednesday, 04.11.09 14.15 FR6046 ===

==== Talk invited speaker ====

'''Aapo Hyvarinen:'''

''Unsupervised learning by discriminating data from artificial noise''

Abstract:
We propose to learn the structure of data based on the simple idea of learning to discriminate data from artificially generated noise. Such learning is basically unsupervised, although we formulate it as logistic regression. The method can be shown to estimate a parametric probabilistic model for the data. Furthermore, the probabilistic model does not need to be normalized (i.e. it can be energy-based) because the normalization parameter can actually be estimated just like the other parameters. We apply the method to learning two- and three-layer networks from natural images, where the noise is white and gaussian. 


(Chair:Klaus-Robert Müller)




=== Wednesday, 28.10.09 14.15 FR6046 ===
==== Talk ====

'''Timon Schroeter'''

(Chair: Katja Hansen)



=== Wednesday, 21.10.09 14.15 FR6046 ===
==== Research Ideas ====

 * '''Nikolay Jetchev: ''' ''Trajectory Prediction and Parallel Exploration of Movement Trajectories for Online Planning'',
 * ''' Martijn Schreuder: ''' ''Performance feedback during (auditory) P300 operation'',
 * '''nn'''
(Chair:Daniel Bartz)




=== Wednesday, 14.10.09 14.15 FR6046 ===

==== Tutorial ====

'''Matthias Treder'''

''Experimental Design in Human Research''

Abstract:This tutorial is devoted the first steps in human experimental research, that is, defining a research question and then translating this research question into an experimental design, and finally setting up the experiment. According concepts and terminology from psychological methodology are introduced, such as types of research, experimental designs, the definition of measurements, and the assessment of their quality. Possible remedies are worked out in a hopefully interactive fashion.

 [[attachment:ExperimentalDesign.pdf|slides]]

----