Abstract Details
Activity Number:
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552
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Type:
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Contributed
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Date/Time:
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Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Learning and Data Mining
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Abstract #316058
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Title:
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Online Statistical Learning Algorithms
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Author(s):
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Joshua Day*
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Companies:
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North Carolina State University
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Keywords:
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online algorithm ;
statistical learning ;
penalized regression
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Abstract:
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Many statistical models have limited use with data too large to hold in memory or arriving in a stream. We introduce a variety of online or one-pass algorithms for statistical learning suited to these applications. The online nature of these algorithms allow us to create a family of self-tuning models. At each time point (epoch), two batches of data are held in computer memory; The two batches serve as training set and test set, and tuning parameters are adjusted at each epoch.
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Authors who are presenting talks have a * after their name.
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