The theory of belief functions, sometimes referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, to be later developed by Glenn Shafer as a general framework for modelling epistemic uncertainty. Belief theory and the closely related random set theory form a natural framework for modelling situations in which data are missing or scarce: think of extremely rare events such as volcanic eruptions or power plant meltdowns, problems subject to huge...
Dominique Haughton, Bentley University, Université Paris 1 and Université Toulouse 1, with the Music Analytics Group at Bentley University
This talk will give an overview of projects at the frontier between data analysis and music (“music analytics”) and will present preliminary results of an analysis of the success of Kickstarter rock music projects, using features extracted from audio files with the Echonest/Spotify API (Application Program Interface). We also discuss current state of the art in defining measures of distance between...
