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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Australia/Queensland
BEGIN:STANDARD
DTSTART:19920301T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
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BEGIN:VEVENT
DTSTAMP:20180826T210912Z
UID:9D469971-19A4-446D-9A70-C94CCA01355A
DTSTART;TZID=Australia/Queensland:20180821T150000
DTEND;TZID=Australia/Queensland:20180821T160000
DESCRIPTION:Prof. Matt McKay of HKUST will present a seminar on his most re
 cent findings on the fitness landscape of the Hepatitis C virus\, informed
  by statistical signal processing and unsupervised machine-learning techni
 ques.\n\nCo-sponsored by: Queensland Section EMBS Chapter\n\nSpeaker(s): M
 att McKay\, \n\nRoom: Concord Boardroom\, Bldg: Grey St. Entrance\, Brisba
 ne Convention and Exhibition Centre\, cnr Merivale & Glenelg Streets\, Sou
 th Bank\, Queensland\, Australia\, 4101
LOCATION:Room: Concord Boardroom\, Bldg: Grey St. Entrance\, Brisbane Conve
 ntion and Exhibition Centre\, cnr Merivale & Glenelg Streets\, South Bank\
 , Queensland\, Australia\, 4101
ORGANIZER:v.clarkson@ieee.org
SEQUENCE:5
SUMMARY:Using unsupervised learning to find weak spots of HCV: Implications
  for rational vaccine design
URL;VALUE=URI:https://events.vtools.ieee.org/m/175981
X-ALT-DESC:Description: <br /><p>Prof. Matt McKay of HKUST will present a s
 eminar on his most recent findings on the fitness landscape of the Hepatit
 is C virus\, informed by statistical signal processing and unsupervised ma
 chine-learning techniques.</p>
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