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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters andClouds

LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. Abstracts, Slides, Papers. Videos of all talks at the workshop online at videolectures.net. Accepted papers, slides, and abstracts posted here. Hilton, Mt. Currie South. 7:30am - 6:30pm Saturday, December 11, 2010. Opening remarks and overview of the field. Keynote: Averaging algorithms and distributed optimization. John N. Tsitsiklis. Coffee Break and Poster Session. Optimal Distributed Online Prediction Using Mini-Batches. Ron Bekker...

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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters andClouds | lccc.eecs.berkeley.edu Reviews

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LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. Abstracts, Slides, Papers. Videos of all talks at the workshop online at videolectures.net. Accepted papers, slides, and abstracts posted here. Hilton, Mt. Currie South. 7:30am - 6:30pm Saturday, December 11, 2010. Opening remarks and overview of the field. Keynote: Averaging algorithms and distributed optimization. John N. Tsitsiklis. Coffee Break and Poster Session. Optimal Distributed Online Prediction Using Mini-Batches. Ron Bekker...

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overview,keynote speakers,submission info,organizers,sponsors,announcements,location,date and time,schedule,time,event,speaker,video,john langford,lin xiao,slav petrov,poster session,and ski break,unofficial,langford et al,carlos guestrin,sameer singh

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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters andClouds | lccc.eecs.berkeley.edu Reviews

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LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. Abstracts, Slides, Papers. Videos of all talks at the workshop online at videolectures.net. Accepted papers, slides, and abstracts posted here. Hilton, Mt. Currie South. 7:30am - 6:30pm Saturday, December 11, 2010. Opening remarks and overview of the field. Keynote: Averaging algorithms and distributed optimization. John N. Tsitsiklis. Coffee Break and Poster Session. Optimal Distributed Online Prediction Using Mini-Batches. Ron Bekker...

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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds

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LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. Keynote: Averaging algorithms and distributed optimization. John N. Tsitsiklis. Distributed MAP Inference for Undirected Graphical Models. Sameer Singh, Amar Subramanya, Fernando Pereira, Andrew McCallum. Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng. MapReduce/Bigtable for Distributed Optimization. Keith Hall, Scott Gilpin, Gideon Mann (presented by Slav Petrov). For large data it can be very time consuming to run gradient based...

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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds

http://lccc.eecs.berkeley.edu/submission.html

LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. CALL FOR PAPERS Learning on Cores, Clusters, and Clouds NIPS 2010 Workshop, Whistler, British Columbia, Canada http:/ lccc.eecs.berkeley.edu/. Submission Deadline: October 17, 2010 - = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =. The one day workshop on "Learning on Cores, Clusters, and Clouds" aims to bring together experts in the field and curious newcomers, to present the state-of-the-art in applied and t...

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Technology Research Synopses: January 2011

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Tuesday, January 18, 2011. MoNETA: A Mind Made from Memristors. Massimiliano Versace and Ben Chandler, "MoNETA: A Mind Made from Memristors," IEEE Spectrum. Dec 2010. [ Article. Image credit: IEEE Spectrum. The article highlights some success stories and failures of AI research in the past. This is contrasted with the rat. The rat's biological intelligence is much more versatile in various tasks, such as recognition, creation, integration of senses, etc. In a real brain, processing happens between neuron...

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Advances in Algorithms and Data Management. Related workshops previously at NIPS. Big Learning Workshop ( 2012. Big Learning Workshop ( 2011. Learning on Cores, Clusters, and Clouds ( 2010. Low-rank methods for Large-scale Machine Learning ( 2010. Large-Scale Machine Learning: Parallelism and Massive Datasets ( 2009. Parallel Implementations of Learning Algorithms ( 2008. Statistical Learning Techniques for Solving Systems Problems ( 2007. 2nd Graphlab Workshop ( 2013. Graphlab Workshop ( 2012.

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Technology Research Synopses: The Learning Behind Gmail Priority Inbox

http://techsynopses.blogspot.com/2011/01/learning-behind-gmail-priority-inbox.html

Monday, January 10, 2011. The Learning Behind Gmail Priority Inbox. Douglas Aberdeen, Ondrey Pacovsky, and Andrew Slater, "The Learning Behind Gmail Priority Inbox," in Proc. NIPS Workshop on Learning on Cores, Clusters and Clouds ( LCCC. Whistler, Canada, Dec. 2010. [ Paper. In this paper, Google gives a short explanation of its new Priority Inbox feature in Gmail. The heart of the algorithm is machine learning using social, content, thread, and label features in each email.

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LCCC - NIPS 2010 Workshop on Learning on Cores, Clusters andClouds

LCCC : NIPS 2010 Workshop on. Learning on Cores, Clusters and Clouds. Abstracts, Slides, Papers. Videos of all talks at the workshop online at videolectures.net. Accepted papers, slides, and abstracts posted here. Hilton, Mt. Currie South. 7:30am - 6:30pm Saturday, December 11, 2010. Opening remarks and overview of the field. Keynote: Averaging algorithms and distributed optimization. John N. Tsitsiklis. Coffee Break and Poster Session. Optimal Distributed Online Prediction Using Mini-Batches. Ron Bekker...

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