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SUMMARY:The geometry of uncertainty - Fabio Cuzzolin\, Head of AI and visi
 on\, Oxford Brookes University
DTSTART:20160309T140000Z
DTEND:20160309T150000Z
UID:TALK65006@talks.cam.ac.uk
CONTACT:Adrian Weller
DESCRIPTION:Uncertainty exists in all fields of applied science\, as our k
 nowledge is inherently limited\, data are often missing\, witnesses are ch
 aracterized by uncertain reliability. Still\, decisions often need to be m
 ade even in these adverse\nscenarios - think of climatic change\, infrastr
 ucture planning\, or modelling of extremely rare events such as volcanic e
 ruptions. Standard probability theory does provide a way of reasoning with
  uncertainty in a “quantitative” way.\n \nHowever\, more general appro
 aches to the mathematics of uncertainty have been developed as an alternat
 ive to Bayesian probability - collectively known as “imprecise probabili
 ties”. Examples are Dempster-Shafer belief functions\, fuzzy measures\, 
 random sets\, monotone capacities possibility theory. Imprecise probabilit
 y measures can be seen as points living in a suitable geometrical space\, 
 where they can be handled by geometric means.\n\nThe "geometrical language
 " we describe here may\, on one side\, serve to “pedagogical” purposes
  by pictorially illustrating the nature of these objects. More importantly
 \, these geometrical methods can be useful as a tool for specialists in th
 e field to operate with imprecise probabilities in a convenient way. While
  partial geometrical analyses have been conducted in related fields in the
  past\, the comprehensive geometrical framework for imprecise probabilitie
 s presented here is an original contribution of the author.\n\n\nBio\n\nDr
  Fabio Cuzzolin received a laurea magna cum laude degree in Computer Engin
 eering from the University of Padua\, Italy in 1997. He was awarded a Ph.D
 . degree for the thesis “Visions of a generalized probability theory” 
 by the same institution in 2001. After conducting research with Politecnic
 o di Milano\, Italy\; Washington University in St. Louis\, USA\; the Unive
 rsity of California at Los Angeles\, USA\; and INRIA Rhone-Alpes\, France\
 , he joined the Torr Computer Vision group in Oxford in 2008. He is curren
 tly a Reader and the Head of the Artificial Intelligence and Vision resear
 ch group at Oxford Brookes University\, and Associate member of the TVG.\n
 \nHis research interests include artificial intelligence\, machine learnin
 g\, and computer vision. He is a world expert in the theory of belief func
 tions\, to which he has contributed with a general geometric approach to u
 ncertainty measures recently published in a Lambert and a Springer monogra
 ph. He is currently the author of about 90 peer-reviewed publications. Dr.
  Cuzzolin has won a number of awards for his work. He was the Program Chai
 r of the 3rd International Conference on Belief Functions\, he is currentl
 y Associate Editor of the IEEE Transactions on Fuzzy Systems and Guest Edi
 tor for the International Journal of Approximate Reasoning.\n
LOCATION:Engineering Department\, Boardroom on the 2nd floor (past canteen
  on the left)
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