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  1. ICML 2010 - International Conference on Machine Learning

    Jun 25, 2010 · The 27th International Conference on Machine Learning (ICML 2010) will be held in Haifa, Israel on June 21-24, 2010, and will feature a talk by a Nobel laureate.

  2. ICML 2010, the 27th International Conference on Machine Learning

    ICML 2010 - Schedule Download the full program to your own calendar: HTML ICAL XML ... Tue 08.30 (Oren) ICML Opening Tue 09.00 (Oren) Invited Talk: Tom Mitchell

  3. ICML 2010, the 27th International Conference on Machine Learning

    For your convenience, we provide copies of the entire ICML-2010 proceedings for download. We recommend that you make use of this option before arrival, in order to avoid excessive internet traffic …

  4. Appearing in Proceedings of the 27thInternational Confer- ence on Machine Learning, Haifa, Israel, 2010. Copyright 2010 by the author(s)/owner(s). as possible, for example by maximizing information …

  5. ICML 2010, the 27th International Conference on Machine Learning

    ICML 2010 proceedings front matter: pre-ToC post-ToC ICML 2010 proceedings table of contents

  6. Several such unsupervised learning methods Appearing in Proceedings of the 27th International Confer-ence on Machine Learning, Haifa, Israel, 2010. Copyright 2010 by the author(s)/owner(s). have been …

  7. But the question remains: why does pre-training work and why is it necessary? Some researchers (e.g. Erhan et al., 2010) have investigated this question and proposed various explanations such as a …

  8. However, recent research (Le Roux et al., 2008) has shown that, by paying attention to the special struc- Appearing in Proceedings of the 27th International Confer-ence on Machine Learning, Haifa, Israel, …

  9. ICML 2010, the 27th International Conference on Machine Learning

    May 9, 2010 · Camera-ready versions of accepted papers are due on May 9, 2010, which is also the early registration deadline of the conference. More information on registration can be found on the …

  10. A particularly efficient optimization algorithm has been devised for l1/l2 penalized problems, that is based on the group-coordinate descent and is referred to as the active-shooting algorithm (Peng et …