Matthew Dirks
Title
Cited by
Cited by
Year
Comparing aggregators for relational probabilistic models
SM Kazemi, B Fatemi, A Kim, Z Peng, MR Tora, X Zeng, M Dirks, D Poole
arXiv preprint arXiv:1707.07785, 2017
72017
Learning with prior domain knowledge and insufficient annotated data
M Dirks
Canadian Conference on Artificial Intelligence, 360-363, 2018
12018
Comparing Aggregators for Relational Probabilistic Models
S Mehran Kazemi, B Fatemi, A Kim, Z Peng, MR Tora, X Zeng, M Dirks, ...
ArXiv e-prints, arXiv: 1707.07785, 2017
12017
Representation, reasoning, and learning for a relational influence diagram applied to a real-time geological domain
M Dirks, A Csinger, A Bamber, D Poole
Canadian Conference on Artificial Intelligence, 257-262, 2016
12016
Sensing and sorting ore using a relational influence diagram
M Dirks
University of British Columbia, 2014
12014
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves
M Dirks, D Poole
arXiv preprint arXiv:2008.07349, 2020
2020
Learning a Meaningful Representation with Prior Domain Knowledge Applied to X-ray Sensing in Geology
M Dirks
2018
Incorporating Domain Knowledge About XRF Spectra into Neural Networks
M Dirks, D Poole
Survey of Dynamic Medical Resource Allocation Methods
M Dirks
Work Stealing in MPI
M Dirks
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