http://mlsp2010.conwiz.dk

http://www.bme.ogi.edu/~hildk/mlsp2010Competition.html

 

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.

http://www.bme.ogi.edu/~hildk/mlsp2010Competition.html

 

Competition Chairs: Mikko Kurimo, Vince Calhoun, Kenneth Hild