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
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
17722007
Bayesian network learning with cutting planes
J Cussens
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence …, 2011
2192011
Parameter estimation in stochastic logic programs
J Cussens
Machine Learning 44 (3), 245-271, 2001
1802001
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
V Santos Costa, D Page, J Cussens
Probabilistic inductive logic programming, 156-188, 2008
159*2008
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
159*2002
Advances in Bayesian network learning using integer programming
M Bartlett, J Cussens
arXiv preprint arXiv:1309.6825, 2013
1132013
Part-of-speech tagging using Progol
J Cussens
International Conference on Inductive Logic Programming, 93-108, 1997
1031997
Integer linear programming for the Bayesian network structure learning problem
M Bartlett, J Cussens
Artificial Intelligence 244, 258-271, 2017
912017
Loglinear models for first-order probabilistic reasoning
J Cussens
Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence …, 1999
76*1999
Stochastic logic programs: Sampling, inference and applications
J Cussens
arXiv preprint arXiv:1301.3846, 2013
662013
Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability
J Cussens
European Conference on Machine Learning, 136-152, 1993
651993
Bayesian network learning by compiling to weighted MAX-SAT
J Cussens
arXiv preprint arXiv:1206.3244, 2012
502012
Maximum likelihood pedigree reconstruction using integer linear programming
J Cussens, M Bartlett, EM Jones, NA Sheehan
Genetic epidemiology 37 (1), 69-83, 2013
462013
Learning language in logic
J Cussens, S Dzeroski
Springer Science & Business Media, 2000
342000
Bayesian learning of Bayesian networks with informative priors
N Angelopoulos, J Cussens
Annals of Mathematics and Artificial Intelligence 54 (1), 53-98, 2008
332008
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
312019
Markov chain Monte Carlo using tree-based priors on model structure
N Angelopoulos, J Cussens
arXiv preprint arXiv:1301.2254, 2013
312013
Part-of-speech disambiguation using ILP
J Cussens
Technical Report PRG-TR-25-96, Oxford University, 1996
311996
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
302017
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26 (4), 797-811, 2016
302016
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