3 papers
cs.AI2001
Bayesian Logic Programs
Kristian Kersting, Luc De Raedt
Bayesian networks provide an elegant formalism for representing and reasoning about uncertainty using probability theory. Theyare a probabilistic extension of propositional logic a…
cs.LG2000
Scaling Up Inductive Logic Programming by Learning from Interpretations
Hendrik Blockeel, Luc De Raedt, Nico Jacobs +1
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming…
cs.LG2000
Top-down induction of clustering trees
Hendrik Blockeel, Luc De Raedt, Jan Ramon
An approach to clustering is presented that adapts the basic top-down induction of decision trees method towards clustering. To this aim, it employs the principles of instance base…