Series: Challenges in Machine Learning

Series editor: Isabelle Guyon
Production editor: Nicola Talbot

Challenges have become a new way of pushing the frontiers of machine learning research; every year, several competitions are organized and the results are discussed at major conferences. The books of this innovative series collect papers written by successful competitors, reprinted from the Journal of Machine Learning Research and its Workshop and Conference Proceedings series. They also include analyses of the challenges, tutorial material, dataset descriptions, and pointers to data and software. Together with the websites of the challenge competitions, they offer a complete teaching toolkit and a valuable resource for engineers and scientists.

Now available:

• Hands-on Pattern Recognition: Challenges in Machine Learning, volume 1 (ISBN 978-0-9719777-1-6)
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• Visit the challenge competition web sites: model selection challenge and agnostic learning versus prior knowledge challenge

• Causation and Prediction Challenge: Challenges in Machine Learning, volume 2 (ISBN 978-0-9719777-2-3)
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• Visit the challenge competition web site

• The 2009 Knowledge Discovery and Data Mining Competition (KDD Cup 2009): Challenges in Machine Learning, volume 3 (ISBN 978-0-9719777-3-0)
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• Visit the challenge competition web site

• Causality: Objectives and Assessment: Challenges in Machine Learning: Challenges in Machine Learning, volume 4 (ISBN 978-0-9719777-4-7)
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• Causality in Time Series: Challenges in Machine Learning, volume 5 (ISBN 978-0-9719777-5-4)
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• Active Learning Challenge: Challenges in Machine Learning, volume 6 (ISBN 978-0-9719777-6-1)
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• Unsupervised and Transfer Learning: Challenges in Machine Learning, volume 7 (ISBN 978-0-9719777-7-8)
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