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.
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Showing 1 to 5 of 5 for “"Group Labels"”.
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Methods for Enhancing Robustness and Generalization in Machine Learning
We propose two methods for improving subgroup robustness and out of distribution generalization of machine learning models. First we introduce a formulation of Group DRO with soft group assignment. This formulation can be applied to data with noisy or uncertain group labels, or when only a small …
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The labeling theory: an empirical test
Proponents of labeling theory argue that the labels we use to identify things are not merely harmless words, but, in fact, shape and control experience to some degree. Others, such as W. E. B. Dubois, argued that names only identify things and if one changes a label by which a thing is identified …
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Gender Double Standard of Aging: How Perception of Age and Related Social Outcomes are Modulated by the Gender of the Perceived
Understanding the influence of group labeling (e.g., gender, race, age) on social processes is one of the most important objectives of social psychology. Research in this tradition often studies the influence of one group label at a time; very little research has examined how multiple group labels …
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Effects of Minimal Group Identity on Processing of Evaluative Information
… of this study was to assess whether minimal group identity, as established through a minimal group paradigm, could influence processing of evaluative information. Minimal group identity was measured through a series of trait scales on which subjects were asked to rate own group and out group …
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Learning with Weak Supervision for Land Cover Mapping Problems
… of not having sufficient samples with exact labels. In a weakly-supervised learning scenario, you have very few training samples that have exact labels corresponding to the target variable. However, you have plenty of weakly-labeled instances i.e you have an imperfect version of the target …