An MIT deep learning book in preparation: draft chapters available for feedback

An MIT Press book in preparation Yoshua Bengio, Ian Goodfellow and Aaron Courville Citing the book in preparation If you want to cite this book in preparation, please use the following bibtex entry: @unpublished{Bengio-et-al-2015-Book, title={Deep Learning}, author={Yoshua Bengio and Ian J. Goodfellow and Aaron Courville}, note={Book in preparation for MIT Press}, url={http://www.iro.umontreal.ca/~bengioy/dlbook}, year={2015} } Draft

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Deep learning and statistical machine translation

We are living through one of the most decisive moments in machine translation history. The funding landscape in Europe is changing dramatically: the MosesCore project concluded the series of support projects for the Moses system funded by the European Commission. Now the project has come to an end, Moses as a commercial MT solution is

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ECMLPKDD 2015 : PhD Session

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2015) will take place on September 7 of 2015, in Porto Portugal (http://www.ecmlpkdd2015.org/). The conference includes a PhD session that provides an environment for students to exchange their ideas and experiences with peers and senior researchers in machine learning,

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Release of Autodesk Post-Editing Data Corpus

It is my pleasure to announce the release of the Autodesk Post-Editing Data corpus with the ISLRN 290-859-676-529-5 (http://www.islrn.org/resources/identify_islrn/). This resource contains parallel English source–MT/TM target segments post-edited into several languages (Simplified and Traditional Chinese, Czech, French, German, Hungarian, Italian, Japanese, Korean, Polish, Brazilian Portuguese, Russian, Spanish) with between 30000 and 410000 segments per language.

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NAACL-HLT 2015: Student Volunteer Program

We seek a limited number of student volunteers for the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technology. Volunteers are assigned one full day’s work. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to

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