1. Guest editors’ introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning

   • Gerson Zaverucha
   • Santos Costa Vítor

   Editorial 16 July 2015 Pages: 1 - 3

2. Probabilistic (logic) programming concepts

   • Luc De Raedt
   • Angelika Kimmig

   OriginalPaper 08 May 2015 Pages: 5 - 47

   

3. Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

   • Stephen H. Muggleton
   • Dianhuan Lin
   • Alireza Tamaddoni-Nezhad

   OriginalPaper 12 March 2015 Pages: 49 - 73

   

4. Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases

   • Tushar Khot
   • Sriraam Natarajan
   • Jude Shavlik

   OriginalPaper 20 February 2015 Pages: 75 - 100

   

5. Efficient inference and learning in a large knowledge base

   • William Yang Wang
   • Kathryn Mazaitis
   • William W. Cohen

   OriginalPaper 04 April 2015 Pages: 101 - 126

   

6. Bandit-based Monte-Carlo structure learning of probabilistic logic programs

   • Nicola Di Mauro
   • Elena Bellodi
   • Fabrizio Riguzzi

   OriginalPaper 16 July 2015 Pages: 127 - 156