hunch_net hunch_net-2012 hunch_net-2012-462 knowledge-graph by maker-knowledge-mining
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Introduction: May 16 in Cambridge , is the New England Machine Learning Day , a first regional workshop/symposium on machine learning. To present a poster, submit an abstract by May 5 . May 19 in New York , STOC is coming to town and rather surprisingly having workshops which should be quite a bit of fun. I’ll be speaking at Algorithms for Distributed and Streaming Data .
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same-blog 1 1.0000001 462 hunch net-2012-04-20-Both new: STOC workshops and NEML
Introduction: May 16 in Cambridge , is the New England Machine Learning Day , a first regional workshop/symposium on machine learning. To present a poster, submit an abstract by May 5 . May 19 in New York , STOC is coming to town and rather surprisingly having workshops which should be quite a bit of fun. I’ll be speaking at Algorithms for Distributed and Streaming Data .
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Introduction: Adam Kalai points out the New England Machine Learning Day May 1 at MSR New England. There is a poster session with abstracts due April 19. I understand last year’s NEML went well and it’s great to meet your neighbors at regional workshops like this.
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Introduction: The From Data to Knowledge workshop May 7-11 at Berkeley should be of interest to the many people encountering streaming data in different disciplines. It’s run by a group of astronomers who encounter streaming data all the time. I met Josh Bloom recently and he is broadly interested in a workshop covering all aspects of Machine Learning on streaming data. The hope here is that techniques developed in one area turn out useful in another which seems quite plausible. Particularly if you are in the bay area, consider checking it out.
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Introduction: About 200 people attended the 2010 NYAS ML Symposium this year. (It was about 170 last year .) I particularly enjoyed several talks. Yann has a new live demo of (limited) real-time object recognition learning. Sanjoy gave a fairly convincing and comprehensible explanation of why a modified form of single-linkage clustering is consistent in higher dimensions, and why consistency is a critical feature for clustering algorithms. I’m curious how well this algorithm works in practice. Matt Hoffman ‘s poster covering online LDA seemed pretty convincing to me as an algorithmic improvement. This year, we allocated more time towards posters & poster spotlights. For next year, we are considering some further changes. The format has traditionally been 4 invited Professor speakers, with posters and poster spotlight for students. Demand from other parties to participate is growing, for example from postdocs and startups in the area. Another growing concern is the fa
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Introduction: May 16 in Cambridge , is the New England Machine Learning Day , a first regional workshop/symposium on machine learning. To present a poster, submit an abstract by May 5 . May 19 in New York , STOC is coming to town and rather surprisingly having workshops which should be quite a bit of fun. I’ll be speaking at Algorithms for Distributed and Streaming Data .
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Introduction: Many Machine Learning related events are coming up this fall. September 9 , abstracts for the New York Machine Learning Symposium are due. Send a 2 page pdf, if interested, and note that we: widened submissions to be from anybody rather than students. set aside a larger fraction of time for contributed submissions. September 15 , there is a machine learning meetup , where I’ll be discussing terascale learning at AOL. September 16 , there is a CS&Econ; day at New York Academy of Sciences. This is not ML focused, but it’s easy to imagine interest. September 23 and later NIPS workshop submissions start coming due. As usual, there are too many good ones, so I won’t be able to attend all those that interest me. I do hope some workshop makers consider ICML this coming summer, as we are increasing to a 2 day format for you. Here are a few that interest me: Big Learning is about dealing with lots of data. Abstracts are due September 30 . The Bayes
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