Leibniz on Probability and Statistics

Finding All Bayesian Network Structures within a Factor of Optimal
Liao, Z., Sharma, C., Cussens, J. & van Beek, P., 17 Jul 2019, Proceedings of the AAAI Conference on Artificial Intelligence, 33(01). AAAI Press, p. 7892-7899 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 33, no. 1).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Predicting persistent depressive symptoms in older adults: a machine learning approach to personalised mental healthcare
Hatton, C., Paton, L. W., McMillan, D., Cussens, J., Gilbody, S. & Tiffin, P. A., 1 Mar 2019
Article in Journal of affective disorders
Markov Random Field MAP as Set Partitioning
Cussens, J., 2018, Proceedings of Machine Learning Research: PGM 2018. Vol. 72. p. 85-96 12 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Towards using the chordal graph polytope in learning decomposable models
Studený, M. & Cussens, J., Sep 2017
Article in International Journal of Approximate Reasoning
Integrated testing strategies can be optimal for chemical risk classification.
Pitchford, J. W., Cussens, J., Raseta, M. & Doe, J., Aug 2017
Article in Mathematical Biosciences

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

Author(s)

Title of host publication	Oxford Handbook on Leibniz
Date	Accepted/In press - 2014
Publisher	Oxford: Oxford University Press
Editors	Maria Rosa Antognazza
Original language	English

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