baylearn.org
Sponsors - BayLearn: Bay Area Machine Learning Symposium
http://www.baylearn.org/sponsors
Call For Abstracts 2015.
2013.baylearn.org
Schedule - BayLearn: Bay Area Machine Learning Symposium 2013
http://2013.baylearn.org/schedule
The event starts at 9:30am and ends at 6pm on Wednesday,. August 28th, 2013. Registration opens at 9:00am. 3 invited talks by Michael Jordan, Trevor Hastie and Yoram Singer;. 6 short talks and a poster session;. And, most importantly, break/lunch time for discussion. Welcome to BayLearn 2013! On the Computational and Statistical Interface and "Big Data". Xinghao Pan, Berkeley;. Optimistic Concurrency Control for Distributed Unsupervised Learning. Ameet Talwalkar, Berkeley. Manfred Warmuth, UC Santa Cruz;.
2013.baylearn.org
Submissions - BayLearn: Bay Area Machine Learning Symposium 2013
http://2013.baylearn.org/submissions
We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings All accepted abstracts will be presented as posters, a few will be selected for a 10-minute oral presentation. We do not intend to publish proceedin. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! 2-page pdf document including figures and citations in the NIPS format.
2014.baylearn.org
Sitemap - Bay Area Machine Learning Symposium 2014
http://2014.baylearn.org/system/app/pages/sitemap/hierarchy
2014.baylearn.org
Submissions - Bay Area Machine Learning Symposium 2014
http://2014.baylearn.org/submissions
Submissions are welcome at https:/ cmt.research.microsoft.com/BL2014/. Please submit a 2-page abstract in NIPS format. Submission deadline of September 14, 2014.
2014.baylearn.org
Keynotes - Bay Area Machine Learning Symposium 2014
http://2014.baylearn.org/keynotes
Google and University of Toronto. Abstract: A simple way to improve classification performance is to average the. Predictions of a large ensemble of different classifiers. This is. Great for winning competitions but requires too much computation at. Test time for practical applications such as speech recognition. In a. Widely ignored paper in 2006, Caruana and his collaborators showed. That the knowledge in the ensemble could be transferred to a single,. Also show how this technique can be used to improv...
2014.baylearn.org
Bay Area Machine Learning Symposium 2014
http://2014.baylearn.org/overview
The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Thanks all - it was a great one! Abstract submission deadline: September 14, 2014.
baylearn.org
Submissions - BayLearn: Bay Area Machine Learning Symposium
http://www.baylearn.org/submissions
Call For Abstracts 2015. An abstract as a 2-page pdf in the NIPS format by August 23rd, 2016. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings. We do not intend to publish paper proceedings, but would like to share abstracts online. See examples of contributions in last year program.
baylearn.org
Venue - BayLearn: Bay Area Machine Learning Symposium
http://www.baylearn.org/venue
Call For Abstracts 2015. The event will be hosted by LinkedIn at 580 N Mary Ave,. Sunnyvale, CA 94085. 580 N Mary Ave. 580 N Mary Ave. Breakfast and lunch will be served in the LinkedIn café. The main event will be followed by a cocktail hour and poster session. LinkedIn will provide shuttle service from San Francisco as well as the. Sunnyvale Caltrain station (more details to follow).
baylearn.org
. - BayLearn: Bay Area Machine Learning Symposium
http://www.baylearn.org/overview/call-for-abstracts
Call For Abstracts 2015. Bay Area Machine Learning Symposium. Meet the Bay Area Machine Learning Scientists on October 21, 2014. Feel free to circulate this invitation to your colleagues and relevant contacts. Call for Abstract and Invitation *. Http:/ www.baylearn.org/schedule. September 3rd, 2014 - Abstract submission deadline. October 3rd, 2014 - Author notification. October 9th, 2014 - Registration Deadline. October 21st, 2014 - Symposium. The event will be hosted at the. The event is free! Registrat...