Springer Series on Challenges in Machine Learning (current)
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Microtome Series on Challenges in Machine Learning (2011-2014)
Hands-on Pattern Recognition: Challenges in Machine Learning, volume 1 [Free PDF]
Isabelle Guyon, Gavin Cawley, Gideon Dror, and Amir Safari (Eds.) 2011 Causation and Prediction Challenge: Challenges in Machine Learning, volume 2 [Free PDF] Isabelle Guyon, Constantin Aliferis, Greg Cooper, Andre Elisseeff, Jean-Philippe Pellet, Peter Spirtes, and Alexander Statnikov (Eds.) 2010 The 2009 Knowledge Discovery in Data Competition (KDD Cup 2009), volume 3 [Free PDF] Gideon Dror, Marc Boulle, Isabelle Guyon, Vincent Lemaire, and David Vogel (Eds.) 2011 Causality: Objectives and Assessment, volume 4 [Free PDF] Isabelle Guyon, Dominik Janzing, and Bernhard Scholkopf (Eds.) 2011 Causality in Time Series, volume 5 [Free PDF] Florin Popescu and Isabelle Guyon (Eds.) 2013 Active Learning Challenge, volume 6 [Free PDF] Isabelle Guyon, Gavin Cawley, Gideon Dror, Vincent Lemaire and Alexander Statnikov (Eds.) 2012 Unsupervised and Transfer Learning, volume 7 [Free PDF] Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor, and Daniel Silver (Eds.) 2013 Advances in Causal Structure Learning, volume 8 [Free PDF] Constantin Aliferis, Gregory Cooper, Andre Elisseeff, Isabelle Guyon, and Peter Spirtes (Eds.) 2014 |
NIPS 2003 feature selection challenge bookFeature Extraction: Foundations and Applications [PDF manuscript]
Isabelle Guyon, Steve Gunn, Masoud Nikravesh, and Lofti Zadeh (Eds.) 2006 Springer. |