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James Cussens
James Cussens
Senior Lecturer in Computer Science, University of Bristol
Geverifieerd e-mailadres voor bristol.ac.uk - Homepage
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Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
19112007
Bayesian network learning with cutting planes
J Cussens
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence …, 2011
2592011
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
166*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
142*2002
Integer linear programming for the Bayesian network structure learning problem
M Bartlett, J Cussens
Artificial Intelligence 244, 258-271, 2017
1292017
Advances in Bayesian network learning using integer programming
M Bartlett, J Cussens
arXiv preprint arXiv:1309.6825, 2013
1262013
Part-of-speech tagging using Progol
J Cussens
International Conference on Inductive Logic Programming, 93-108, 1997
1051997
Loglinear models for first-order probabilistic reasoning
J Cussens
Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence …, 1999
78*1999
Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability
J Cussens
European Conference on Machine Learning, 136-152, 1993
671993
Stochastic logic programs: Sampling, inference and applications
J Cussens
arXiv preprint arXiv:1301.3846, 2013
662013
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
562019
Bayesian network learning by compiling to weighted MAX-SAT
J Cussens
arXiv preprint arXiv:1206.3244, 2012
552012
Maximum likelihood pedigree reconstruction using integer linear programming
J Cussens, M Bartlett, EM Jones, NA Sheehan
Genetic epidemiology 37 (1), 69-83, 2013
482013
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
422017
Exact estimation of multiple directed acyclic graphs
CJ Oates, JQ Smith, S Mukherjee, J Cussens
Statistics and Computing 26 (4), 797-811, 2016
352016
Polyhedral aspects of score equivalence in Bayesian network structure learning
J Cussens, D Haws, M Studený
Mathematical Programming 164 (1), 285-324, 2017
342017
Searching multiregression dynamic models of resting-state fMRI networks using integer programming
L Costa, J Smith, T Nichols, J Cussens, EP Duff, TR Makin
Bayesian Analysis 10 (2), 441-478, 2015
342015
Bayesian learning of Bayesian networks with informative priors
N Angelopoulos, J Cussens
Annals of Mathematics and Artificial Intelligence 54 (1), 53-98, 2008
342008
Learning language in logic
J Cussens, S Dzeroski
Springer Science & Business Media, 2000
342000
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Artikelen 1–20