Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Fryer, Daniel"'
Autor:
Fryer, Daniel Lees
"This book integrates insights from dialogic theory and systemic functional linguistics (SFL) to extend our understandings of engagement in medical research articles, going beyond notions of the role of verbal dialogue to encompass mathematical and v
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/50584
The determination of the number of mixture components (the order) of a finite mixture model has been an enduring problem in statistical inference. We prove that the closed testing principle leads to a sequential testing procedure (STP) that allows fo
Externí odkaz:
http://arxiv.org/abs/2103.10640
The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four "favourable and fair" axioms for attribution in transferable utility games. The Shapley value is
Externí odkaz:
http://arxiv.org/abs/2102.10936
Groundwater depletion impacts the sustainability of numerous groundwater-dependent vegetation (GDV) globally, placing significant stress on their capacity to provide environmental and ecological support for flora, fauna, and anthropic benefits. Indus
Externí odkaz:
http://arxiv.org/abs/2009.03129
We state theoretical properties for $k$-means clustering of Symmetric Positive Definite (SPD) matrices, in a non-Euclidean space, that provides a natural and favourable representation of these data. We then provide a novel application for this method
Externí odkaz:
http://arxiv.org/abs/2008.03454
Autor:
Nguyen, Hien D, Fryer, Daniel V
The soft-margin support vector machine (SVM) is a ubiquitous tool for prediction of binary-response data. However, the SVM is characterized entirely via a numerical optimization problem, rather than a probability model, and thus does not directly gen
Externí odkaz:
http://arxiv.org/abs/2007.11902
Shapley values have become increasingly popular in the machine learning literature thanks to their attractive axiomatisation, flexibility, and uniqueness in satisfying certain notions of `fairness'. The flexibility arises from the myriad potential fo
Externí odkaz:
http://arxiv.org/abs/2007.06011
The coefficient of determination, the $R^2$, is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this explanatory contribution to each of the individual covariates is often so
Externí odkaz:
http://arxiv.org/abs/2001.09593