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Neil Thacker - Fundamental Issues Regarding Uncertainties in Artificial Neural Networks

Turing pattern
Dates:17 February 2020
Times:14:00 - 15:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Neil Thacker
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  • Mathematics in the life sciences
  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Mathematics in the life sciences "
  • In group "(Maths) Maths seminar series"
  • By Department of Mathematics

(Zochonis Lecture Theatre D) Join us for this seminar by Neil Thacker (Manchester) as part of the Mathematics in the Life Sciences Series.

Abstract: The problem of assessment of uncertainty in non-linear systems is re-visited and used to motivate an approach for estimation of parameter uncertainty based upon a Bayesian/Frequentist synthesis. The method is applied to Artificial Neural Networks trained on a real-world data set for clinical decision support (dementing diseases). This example identifies fundamental issues regarding the general assessment of uncertainty for popular multi-variate methods such as Deep Learning.

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Speaker

Neil Thacker

Role: Senior Lecturer

Organisation: University of Manchester

  • https://www.research.manchester.ac.uk/portal/neil.a.thacker.html

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Lecture Theatre D
Zochonis Building
Manchester

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Carl Whitfield

carl.whitfield@manchester.ac.uk

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