[pymvpa] 1st phase of Unsupervised and Transfer Learning Challenge is on

[Yaroslav Halchenko]

If you are up for a challenge: there you go

                Unsupervised and Transfer Learning Challenge

        ==> PHASE 1: UNSUPERVISED LEARNING CHALLENGE <==
                                http://clopinet.com/ul

Do you believe that it is possible to LEARN from unlabeled data
Representations of Similarity Measures that will then fare well in supervised
learning tasks?

Now is your chance to prove it: you have 50 days to work on 5
unsupervised learning task from large real world databases.

Labeling data is not only expensive, it is tedious. When it comes to your
own personal data it is also something you do not want to outsource. To help us
tagging fast our personal pictures, videos, and documents, we need systems that
can learn with very few training examples. The question is whether we can
exploit similar data (labeled with different types of labels or completely
unlabeled) to improve data preprocessing.

There will be prizes and publication opportunities at ICML, IJCNN, and in
JMLR W&CP.

Communicated by the Coordinator:
Isabelle Guyon 
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Keep in touch                                     www.onerussian.com
Yaroslav Halchenko                 www.ohloh.net/accounts/yarikoptic