Inductive Logic Programming: 26th International Conference, ILP 2016, London, UK, September 4-6, 2016, Revised Selected Papers von Cussens, James, Russo, Alessandra

Volltext

Integer Linear Programming for the Bayesian network structure learning problem von Bartlett, Mark, Cussens, James

Volltext

Learning Language in Logic von Cussens, James, Dzeroski, Saso

Volltext

Preface to the special issue on inductive logic programming von Cussens, James, Russo, Alessandra

Volltext

Inductive Logic Programming: 10th International Conference, ILP 2000, London, UK, July 24-27, 2000 Proceedings von Cussens, James, Frisch, Alan

Volltext

Distributional logic programming for Bayesian knowledge representation von Angelopoulos, Nicos, Cussens, James

Volltext

Probabilistic logic programming (PLP) 2016 von Hommersom, Arjen, Cussens, James

Volltext

Online Bayesian inference for the parameters of PRISM programs von Cussens, James

Volltext

Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare von Hatton, Christopher M., Paton, Lewis W., McMillan, Dean, Cussens, James, Gilbody, Simon, Tiffin, Paul A.

Volltext

Learning failure-free PRISM programs von Alsanie, Waleed, Cussens, James

Volltext

Polyhedral aspects of score equivalence in Bayesian network structure learning von Cussens, James, Haws, David, Studený, Milan

Volltext

The dual polyhedron to the chordal graph polytope and the rebuttal of the chordal graph conjecture von Studený, Milan, Cussens, James, Kratochvíl, Václav

Volltext

Towards using the chordal graph polytope in learning decomposable models von Studený, Milan, Cussens, James

Volltext

Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity von Cussens, James, Järvisalo, Matti, Korhonen, Janne H., Bartlett, Mark

Volltext

Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks von Malec, Marcin, Khot, Tushar, Nagy, James, Blask, Erik, Natarajan, Sriraam

Volltext

Distributional Learning of Regular Formal Graph System of Bounded Degree von Shoudai, Takayoshi, Matsumoto, Satoshi, Suzuki, Yusuke

Volltext

Probability, uncertainty and artificial intelligence: Carlotta Piscopo: The metaphysical nature of the non-adequacy claim. Dordrecht: Springer, 2013, 146pp, $129 HB von Cussens, James

Volltext

Exact estimation of multiple directed acyclic graphs von Oates, Chris J., Smith, Jim Q., Mukherjee, Sach, Cussens, James

Volltext

How Does Predicate Invention Affect Human Comprehensibility? von Schmid, Ute, Zeller, Christina, Besold, Tarek, Tamaddoni-Nezhad, Alireza, Muggleton, Stephen

Volltext

Towards Nonmonotonic Relational Learning from Knowledge Graphs von Tran, Hai Dang, Stepanova, Daria, Gad-Elrab, Mohamed H., Lisi, Francesca A., Weikum, Gerhard

Volltext