Competition supported by Nokia and PASCAL2 Challenge Program
Goal: The goal is to select/design a classifier (and any pre-processing
systems, including a feature extractor) that correctly classifies EEG
data into one of two classes. The winner will be the submission that
maximizes the area under the ROC curve.
Eligibility: Anyone that has an interest in machine learning and that
has access to Matlab.
Registration: Registration is not required. However, if you wish to
receive important updates on the competition by email then please send a
request to the address provided on the web page.
Deadline: Submissions must be emailed to the email address provided
at the web page no later than one week after the main conference paper
submission deadline, i.e. by April 8, 2010.
Awards: Up to two N900 high-performance mobile computers from
Nokia and travel stipends to MLSP 2010 by PASCAL2 will be awarded as prizes.
Data and more details: Available on the competition page.
Competition Chairs: Mikko Kurimo, Vince Calhoun, Kenneth Hild