The 26th International Conference on Machine Learning (ICML 2009) will be organized in Montreal, Canada on June 14-18, 2009. ICML is the leading international machine learning conference, …

ICML 2009 was held June 14–18 on the downtown campus of McGill University in Montr ́eal, Canada. It was co-located with COLT-2009, the 22nd Annual Conference on Computational Learning Theory, …

Unfortunately, computing the optimal values for the weights is very hard because it requires averages of Appearing in Proceedings of the 26th International Confer-ence on Machine Learning, Montreal, …

ICML2009 Sessions A printable version of this page can be found here.

The proposed algorithms extend the algorithms in (Nesterov, 2007; Tseng, 2008; Beck & Teboulle, 2009) to the matrix case. Experiments on multi-task learning problems demonstrate the e±-ciency of …

ICML 2009 Reviewers Pieter Abbeel Jake Abernethy Ryan Adams Alekh Agarwal Deepak Agarwal Shivani Agarwal Amrudin Agovic Babak Ahmadi Fabio Aiolli Edoardo Airoldi Shotaro Akaho David …

To quantify this diversity we have recently developed a novel index (Vinh & Epps, 2009), namely the Consensus Index (CI), which is built upon a suit-able clustering similarity measure.

ICML 2009 Proceedings Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? Xuan Vinh Nguyen, Julien Epps and James Bailey paper ID: 10

(However, see also (Raina et al., 2009).) In this sec-tion, we introduce our model, the convolutional DBN, whose weights are shared among all locations in an im-age.

ICML 2009 will be held in Montreal, Canada, June 14-18, 2009, and will be co-located with the Uncertainty in Artificial Intelligence Conference (UAI), and the Conference on Learning Theory …