Laboratoire de Génie Informatique et d’Automatique de l’Artois

Ph.D. thesis of Siti MUTMAINAH

Learning to adjust information sources from partial data

Starting date: 1 September 2017
Funding: Indonesian scholarship
Keywords: Belief functions, Correction, Learning, Partial Data

The work envisaged in this thesis consists in investigating the learning of correcting information sources from partially labelled data, with in particular applications of interest to Indonesia, two potential applications being the learning from deforestation data or meteorological data.

Involved research themes:

No partner is associated with this element.


Defense took place the