Follow
James Cussens
James Cussens
Senior Lecturer in Computer Science, University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Bayesian network learning with cutting planes
J Cussens
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence …, 2011
3162011
Parameter estimation in stochastic logic programs
J Cussens
Machine Learning 44, 245-271, 2001
1892001
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
1802007
Integer linear programming for the Bayesian network structure learning problem
M Bartlett, J Cussens
Artificial Intelligence 244, 258-271, 2017
1772017
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
V Santos Costa, D Page, J Cussens
Probabilistic inductive logic programming, 156-188, 2008
167*2008
Advances in Bayesian network learning using integer programming
M Bartlett, J Cussens
arXiv preprint arXiv:1309.6825, 2013
1412013
CLP(BN): Constraint logic programming for probabilistic knowledge
V Santos Costa, D Page, M Qazi, J Cussens
Proceedings of the nineteenth conference on uncertainty in artificial …, 2002
138*2002
Part-of-speech tagging using Progol
J Cussens
International conference on inductive logic programming, 93-108, 1997
1081997
Predicting persistent depressive symptoms in older adults: a machine learning approach to personalised mental healthcare
CM Hatton, LW Paton, D McMillan, J Cussens, S Gilbody, PA Tiffin
Journal of affective disorders 246, 857-860, 2019
982019
Loglinear models for first-order probabilistic reasoning
J Cussens
Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence …, 1999
79*1999
Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability
J Cussens
European Conference on Machine Learning, 136-152, 1993
701993
Stochastic logic programs: Sampling, inference and applications
J Cussens
arXiv preprint arXiv:1301.3846, 2013
692013
Bayesian network structure learning with integer programming: Polytopes, facets and complexity
J Cussens, M Järvisalo, JH Korhonen, M Bartlett
Journal of Artificial Intelligence Research 58, 185-229, 2017
662017
Bayesian network learning by compiling to weighted MAX-SAT
J Cussens
arXiv preprint arXiv:1206.3244, 2012
602012
Maximum likelihood pedigree reconstruction using integer linear programming
J Cussens, M Bartlett, EM Jones, NA Sheehan
Genetic epidemiology 37 (1), 69-83, 2013
502013
Bayesian learning of Bayesian networks with informative priors
N Angelopoulos, J Cussens
Annals of Mathematics and Artificial Intelligence 54, 53-98, 2008
442008
Searching multiregression dynamic models of resting-state fMRI networks using integer programming
L Costa, J Smith, T Nichols, J Cussens, EP Duff, TR Makin
432015
Polyhedral aspects of score equivalence in Bayesian network structure learning
J Cussens, D Haws, M Studený
Mathematical Programming 164, 285-324, 2017
412017
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26, 797-811, 2016
392016
Learning language in logic
J Cussens, S Dzeroski
Springer Science & Business Media, 2000
382000
The system can't perform the operation now. Try again later.
Articles 1–20