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Popular pages

  • CiML book series - Challenges in Machine Learning

    Gesture Recognition   [ PDF manuscript ] Over 10'000 downloads in 2017 (top 25% most downloaded ebooks) Sergio Escalera, Isabelle Guyon, and Vassilis Athitsos (Eds.)  2017

  • Challenges - Challenges in Machine Learning

    Seventy five participants competed on five classification problems to make best predictions and select the smallest possible subset of relevant input variables  (features). The tasks include: cancer.....

  • Resources - Challenges in Machine Learning

    UNIPEN : Our first large dataset of on-line handwriting collected by the iUF. CLOP : An object-oriented Matlab(R) library of machine learning algorithms having performed well in past challenges,...

  • Platforms - Challenges in Machine Learning

    Codalab ChaLearn uses a lot Codalab , an  open source platform  supporting code submission. The use of the public instance is free (you don’t need to install the platform on you own computers)....

  • Tips - Challenges in Machine Learning

    We are now accepting proposals for review. Reviewed and accepted proposals are eligible to display the ChaLearn logo and may  Contact us with your project, we can help you finding funding and...

  • Contact us - Challenges in Machine Learning

    President: Isabelle Guyon, Université Paris-Saclay, France Vice-president: Sergio Escalera, University of Barcelona, Spain Secretary: Wei-Wei Tu, 4Paradigm, China Treasurer: Kristin Bennett, RPI,...

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