Improving Speed of Models for Improved Real-World Decision-Making

This technical report examines approaches to improving the computational speed of models to enhance their utility in real-world decision-making contexts. Faster model execution enables more timely and iterative decision support, particularly in time-critical public health and policy scenarios.

Recommended citation:

J. Thompson, H. Zhao, S. Seneviratne, R. Byrne, R. Vidanaarachchi and R. McClure, “Improving Speed of Models for Improved Real-World Decision-Making,” Center for Open Science, 2021.

BibTeX

@techreport{thompson2021improving,
  title={Improving speed of models for improved real-world decision-making},
  author={Thompson, Jason and Zhao, Haifeng and Seneviratne, Sachith and Byrne, Rohan and Vidanaarachchi, Rajith and McClure, Roderick},
  year={2021},
  institution={Center for Open Science}
}