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SUMMARY:How much data is enough? / Uncertainty aggregation - Keith Hermist
 on\, Defence Science and Technology Lab
DTSTART:20180123T130000Z
DTEND:20180123T140000Z
UID:TALK99583@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:We may be presented with an analytical task of an event that d
 raws from many modalities of data (both numerical and categorical in diffe
 ring proportions). Associated with each data modality may be uncertainty\,
  also measured in both numerical and categorical (nominal and ordinal) fra
 meworks. Nominal uncertainty could be imagined to be an ambiguous word in 
 a sentence while ordinal uncertainty may be expressed as a 'low'\, 'medium
 ' or 'high' estimate. What theoretical constructs offer an appropriate str
 ucture for aggregating confidences of this mixed nature? Through a case st
 udy\, drawing on open Web data\, can we demonstrate that the proposed fram
 ework aggregates uncertainty in a consistent and meaningful manner?
LOCATION:MR3 Centre for Mathematical Sciences
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