SGB Meeting Agenda, March 21, 2004
March 21, 2004
8:30 am - 5:00 pm
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8:30am- 9am
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Contintental Breakfast
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9:00 am-9:15 am
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9:15am- 9:45am
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2.0 ACM Update (White)
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9:45 am- 10:15 am
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10:15 am- 10:30 am
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Break
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10:30 am- 10:45 am
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4.0 International Activities (Berenbaum)
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10:45 am- 11:00 am
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5.0 History Committee Report (Johnson)
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11:00 am- 11:40 am
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6.0 Conference Multimedia Activities
6.1 DVD production (Chesnais, R. Walker 20 min)
6.2 End System Multicast (Rexford, Zhang 20 min)
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11:40 am- 12:00 noon
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12:00 Noon- 1:00pm
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Lunch
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1:00 pm- 3:00 pm
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8.0 SGB EC Recommendations
8.1 SIGs in Transition (R. Walker 25 min)
8.1.2 SIGGROUP
8.2 Chartering of New SIG (R. Walker 20 min)
8.4 Grant Task Force (R. Walker 25 min)
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3:00pm- 3:15pm
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Break
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3: 15 pm- 3:40 pm
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9.0 Election Models (Johnson)
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3:40 pm- 4:40 pm
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10.0 Best and Worst Practices Session (All)
10.1 Increased Conference Submissions (Gabow)
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4:40 pm- 5:00 pm
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11.0 Other Business
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Prediction-Serving Systems
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.
Volunteer with SocialCoder
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