Belief Functions: Theory and Applications Proceedings of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Denoeux, Thierry (Επιμελητής έκδοσης), Masson, Marie-Hélène (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Advances in Intelligent and Soft Computing, 164
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions ha...

Πίνακας περιεχομένων:

• From the content: On belief functions and random sets
• Evidential Multi-label classification method using the Random k-Label sets approach
• An Evidential Improvement for Gender Profiling
• An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics
• An evidential pattern matching approach for vehicle identification
• Comparison between a Bayesian approach and a method based on continuous belief functions for pattern recognition
• Prognostic by classification of predictions combining similarity-based estimation and belief functions
• Adaptative initialisation of a EvKNN classification algorithm.