Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Bias problem"”.
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Fire the hired gun: Eliminating expert bias in the accusatorial-adversarial civil justice system
… captures the essence of the adversarial expert bias problem. As early as 1843, selection expert bias (adversarial bias) was observed in AngloAmerican jurisdictions. 2 From a cursory search of South African case law, more fully set out in section 4.8, it is evident that expert bias is a …
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Does Private School Competition Improve Public School Performance? The Case of Nepal
… matching technique to account for the selection bias problem. The second part of this dissertation attempts to explore the impact of private school competition on public school performance using the number of private schools in the neighborhood as a continuous measure of competition. A binary …
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Active learning in recommender systems: an unbiased and beyond-accuracy perspective
… AL evaluation does not take into account the bias problem. As brought to light by recent RS literature, this is a problem that affects the offline evaluation of RS; it arises when a biased dataset is used to perform the evaluation. We argue that it is a problem that affects offline evaluation …
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning
… be connected to the distribution network. The problem with these limits is that they are based only on overload and overvoltage, and do not adequately define the DG size/threshold before the occurrence of a protection issue (NRS 097-2-3). The other problem with distributed generation is the …
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Methodologies for Systematic Evaluation and Targeted Mitigation of Deficiencies in Critical Machine Learning Models
… medical applications. In addition, we address a bias problem we identified in models predicting type 2 diabetes, which disproportionately impacts younger adults, a growing segment of diabetes patients. In this research, we identify this deficiency in traditional machine learning models and …
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Social Interactions and Network Formation -- EmpiricalModeling and Applications
… necessary nonlinearity to solve the reflection problem faced by the linear-in-means model. In my research, I consider the issue of endogenous network formation which will potentially cause a problem of selection bias in interaction outcomes. In order to handle this selection bias problem, I …
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Measuring cosmic structure
… sichtbaren Galaxien im Universum verteilt ist (“Bias”–Problem). Wegen der Schwierigkeiten, die Dunkle Materie zu lokalisieren, sind dabei schon Unterschiede von Interesse, die sich etwa in der räumlichen Verteilung unterschiedlicher Galaxientypen finden. Der zweite Teil der Arbeit beschäftigt …