1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Implementation and Evaluation of a Gradient Descent-Trained Defensible Blackboard Architecture System
Jordan Milbrath, Jonathan Rivard, Jeremy Straub
A variety of forms of artificial intelligence systems have been developed. Two well-known techniques are neural networks and rule-fact expert systems. The former can be trained fro…
cs.AI2023★ 1 cited
Extension of the Blackboard Architecture with Common Properties and Generic Rules
Jonathan Rivard, Jeremy Straub
The Blackboard Architecture provides a mechanism for embodying data, decision making and actuation. Its versatility has been demonstrated across a wide number of application areas.…
cs.CY2020
Interpretable Machine Learning Approaches to Prediction of Chronic Homelessness
Blake VanBerlo, Matthew A. S. Ross, Jonathan Rivard +1
We introduce a machine learning approach to predict chronic homelessness from de-identified client shelter records drawn from a commonly used Canadian homelessness management infor…