BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//talks.cam.ac.uk//v3//EN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CATEGORIES:Machine Learning @ CUED
SUMMARY:Mind Reading by Machine Learning: Optimal Experime
 ntal Design - Neil Houlsby (CUED)
DTSTART;TZID=Europe/London:20100202T110000
DTEND;TZID=Europe/London:20100202T113000
UID:TALK23142AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/23142
DESCRIPTION:The aim of the project is to infer a subject's men
 tal representation of a set of objects. In order t
 o avoid verbal elaboration\, subjects respond only
  to simple tasks in which they are presented with 
 stimuli about which they make a binary choice. Bay
 esian inference is used infer their mental represe
 ntation of the objects from this impoverished data
 . Some task types are much more informative than o
 thers\, and the desire for shorter\, cheaper exper
 iments motivates the investigation of optimal expe
 rimental design\; how can we select the stimulus t
 hat will provide us with the most information abou
 t the subject's mental contents? 
LOCATION:Engineering Department\, CBL Room 438
CONTACT:Zoubin Ghahramani
END:VEVENT
END:VCALENDAR