Features

The Large Scale Learning challenge is aimed at comparing the scalability and efficiency of existing classification algorithms when applied to large data. The aim of this challenge is to encourage research in Machine Learning and related applications by providing several large datasets, uniform scoring procedures, and a forum for organizations interested in comparing their results.

Datasets available: http://largescale.first.fraunhofer.de/

Time Line
12 June 2008    Test sets available
26 June 2008    End of the competition
9 July 2008    ICML'08 Large Scale Learning workshop

Prizes
We will award travel grants or cash prizes to the winners.

Evaluation
The results of the challenge will be discussed at an ICML'08 workshop,
where the best and most innovative approaches will be presented.
Participants will be invited to submit to submit a paper to a JMLR
special topic on large scale learning (*TBC*).

Organizers:

• Soeren Sonnenburg, Fraunhofer Institute FIRST, Berlin, Germany
• Vojtech Franc, Fraunhofer Institute FIRST, Berlin, Germany
• Elad Yom-Tov, IBM Haifa Research Lab, Haifa, Israel
• Michele Sebag, LRI, Orsay, France