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DTSTART:20240310T030000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T100104
UID:196204@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20241004T120000
DTEND;TZID=America/Chicago:20241004T130000
DESCRIPTION:Unsupervised Learning from Messy Data. Dr. Pimentel-Alarcon wil
 l disome of the main challenges posed by small sample sizes\, missing valu
 es\, outliers\, skewed groups\, and sparsity patterns in Machine Learning\
 , specifically in the unsupervised and semi-supervised setting. He will al
 so share some recent discoveries and strategies to mitigate these issues a
 nd a glimpse of some theoretical developments that might pave the road to 
 the much needed and coveted understanding of deep learning.\n\nCONTACT: ju
 njie.hu@wisc.edu\n\nURL: https://biostat.wisc.edu/seminars\n\nONLINE: http
 s://uwmadison.zoom.us/j/99879638765
LOCATION:1248 Health Sciences Learning Center  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Danie
 l Pimentel-Alarcon
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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