Probabilistic Logic Learning

Funding: 
GOA
Period: 
1 January, 2008 to 31 December, 2012

Participants:

  • Hendrik Blockeel
  • Maurice Bruynooghe
  • Luc De Raedt
  • Marc Denecker
  • Gerda Janssens
  • Danny De Schreye
  • Bart Demoen

Probabilistic logic learning, sometimes also called statistical relational learning, is a newly emerging subfield of artificial intelligence lying at the intersection of knowledge representation, reasoning about uncertainty and machine learning. It aims at combining learning and probabilistic reasoning within first order logic representations. Full project description [PDF]

Group: