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pro vyhledávání: '"Friedbaum, Jesse"'
We propose a new approach for fine-grained uncertainty quantification (UQ) using a collision matrix. For a classification problem involving $K$ classes, the $K\times K$ collision matrix $S$ measures the inherent (aleatoric) difficulty in distinguishi
Externí odkaz:
http://arxiv.org/abs/2411.12127
Counterfactuals, or modified inputs that lead to a different outcome, are an important tool for understanding the logic used by machine learning classifiers and how to change an undesirable classification. Even if a counterfactual changes a classifie
Externí odkaz:
http://arxiv.org/abs/2405.11195
Autor:
Friedbaum, Jesse Robert
Publikováno v:
All Theses and Dissertations.
Robots have been a revolutionizing force in manufacturing in the 20th and 21st century but have proven too dangerous around humans to be used in many other fields including medicine. We describe a new control algorithm for robots developed by the Bri
Externí odkaz:
https://scholarsarchive.byu.edu/etd/7107
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8107&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8107&context=etd
Autor:
Friedbaum, Jesse Robert
Publikováno v:
All Theses and Dissertations.
Robots have been a revolutionizing force in manufacturing in the 20th and 21st century but have proven too dangerous around humans to be used in many other fields including medicine. We describe a new control algorithm for robots developed by the Bri
Externí odkaz:
https://scholarsarchive.byu.edu/etd/7063
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8063&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8063&context=etd