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CALSCALE:GREGORIAN
METHOD:PUBLISH
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TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20130331T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
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DTSTART:20131027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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BEGIN:VEVENT
DTSTAMP:20260505T001351Z
UID:50040450652f9@ist.ac.at
DTSTART:20130422T163000
DTEND:20130422T173000
DESCRIPTION:Speaker: Stephen Smale\nAbstract: Inspired by neuroscience and 
 pattern recognition\, a kernel is\nconstructed which gives a setting for l
 earning theory in\nbioinformatics. In particular this applies to the pepti
 de binding\nproblem to give more accurate results than previous ones. The\
 nprotein folding problem is studied in the same framework.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:mtrappl@ist.ac.at
SUMMARY:Stephen Smale: The Institute Colloquium: New string kernels for imm
 unology with better predictions f
URL:https://talks-calendar.ista.ac.at/events/481
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