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PRODID:-//University of Utah Math Department//On the topic of topic modeling: enhancing machine learning approaches with topic features//EN
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X-WR-CALNAME:On the topic of topic modeling: enhancing machine learning approaches with topic features
X-WR-CALDESC:On the topic of topic modeling: enhancing machine learning approaches with topic features at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
BEGIN:VEVENT
UID:20211026T160000-deanna-needell@math.utah.edu
DTSTART;TZID=America/Denver:20211026T160000
DTEND;TZID=America/Denver:20211026T170000
DTSTAMP:20260922T150858Z
SUMMARY:On the topic of topic modeling: enhancing machine learning approaches with topic features
DESCRIPTION:Speaker: Deanna Needell\, University of California Los Angeles\n\nIn this talk we touch on several problems in machine learning that can benefit from the use of topic modeling. We present topicmodeling based approaches for online prediction problems, computer vision, text generation, and others. While these problems have classical machine learning approaches that …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2021-10-26-deanna-needell/
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