Matthew C. Dirks

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 4

Top Topics

Multiple Representations

Probabilistic Modeling

Model Construction

Top Venues

Canadian Conference on AI

AAAI Workshop: Statistical Relational Artificial Intelligence

Publications

Matthew C. Dirks, David L. Poole
Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit. CoRR (2022)
Matthew C. Dirks, David Poole
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves. CoRR (2020)
Seyed Mehran Kazemi, Bahare Fatemi, Alexandra Kim, Zilun Peng, Moumita Roy Tora, Xing Zeng, Matthew C. Dirks, David Poole
Comparing Aggregators for Relational Probabilistic Models. CoRR (2017)
Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole
Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. Canadian Conference on AI (2016)
Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole
Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)