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Publication search results
found 17 matches
- 2023
- Morgan A. Crowley, Joshua M. Johnston, Julia Harvie, Dan K. Thompson, Mark de Jong, Alan S. Cantin, Colin McFayden, Stephanie DeBoer, Matthew Ansell, Geoffrey Goetz, Luc Lefebvre, Miriam Micael, Geneviève Houde, Denis Dufour:
Observed Fire Behaviour Products from the Wildfiresat Mission. IGARSS 2023: 1599-1602 - Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Nouha Chatti, Colin Bellinger, Mitchell Shahen, Nicholas Paquin, Mark Baula, Amanuel Dawit, Zihan Yang, Xinkai Li, Mark Crowley, Isaac Tamblyn:
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. CoRR abs/2305.14177 (2023) - Colin Bellinger, Mark Crowley, Isaac Tamblyn:
Learning when to observe: A frugal reinforcement learning framework for a high-cost world. CoRR abs/2307.02620 (2023) - 2022
- Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn:
Balancing Information with Observation Costs in Deep Reinforcement Learning. Canadian AI 2022 - Anne Lauscher, Archie Crowley, Dirk Hovy:
Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender. COLING 2022: 1221-1232 - 2021
- Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Active Measure Reinforcement Learning for Observation Cost Minimization. Canadian AI 2021 - Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn:
Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning. CoRR abs/2112.07535 (2021) - 2020
- Colin Crowley, Jose Israel Rodriguez, Jacob Weiker, Jacob Zoromski:
MultiRegeneration for polynomial system solving. ACM Commun. Comput. Algebra 54(2): 39-43 (2020) - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. Canadian AI 2020: 55-66 - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. CoRR abs/2004.07333 (2020) - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Active Measure Reinforcement Learning for Observation Cost Minimization. CoRR abs/2005.12697 (2020) - 2016
- Colin Ashurst, Catherine Crowley, Clare Thornley:
Building the Capability for Benefits realisation: Leading with Benefits. UKAIS 2016: 9 - 2001
- Olivier Chomat, Vincent Colin de Verdière, James L. Crowley:
Recognizing goldfish? or Local scale selection for recognition techniques. Robotics Auton. Syst. 35(3-4): 191-200 (2001) - 2000
- Vincent Colin de Verdière, James L. Crowley:
Local appearance space for recognition of navigation landmarks. Robotics Auton. Syst. 31(1-2): 61-69 (2000) - Olivier Chomat, Vincent Colin de Verdière, Daniela Hall, James L. Crowley:
Local Scale Selection for Gaussian Based Description Techniques. ECCV (1) 2000: 117-133 - Daniela Hall, Vincent Colin de Verdière, James L. Crowley:
Object Recognition Using Coloured Receptive Fields. ECCV (1) 2000: 164-177 - 1998
- Vincent Colin de Verdière, James L. Crowley:
Visual Recognition Using Local Appearance. ECCV (1) 1998: 640-654
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