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A Universal Approximation Theorem for Tychonoff Spaces with Application to Spaces of Probability and Finite Measures
DownloadFall 2022
Universal approximation refers to the property of a collection of functions to approximate continuous functions. Past literature has demonstrated that neural networks are dense in continuous functions on compact subsets of finite-dimensional spaces, and this document extends those findings to...
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Measuring What Matters: Exploring Measures of Métis Children's Social and Emotional Well-being Through Evidence Synthesis and Consensus Group Methods
DownloadFall 2023
The measurement tools selected for use in studies with Indigenous children have an undeniable impact on the validity and applicability of the findings presented, underscoring the need to take seriously calls for the development of self-determined measures that are rooted in the cultures,...