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Browsing Scholarly Works by Subject "Machine Learning"
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Now showing items 1-16 of 16
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(University of Oregon, 2024-01-09)We provide a framework for analyzing the geometry and topology of the canonical polyhedral complex of ReLU neural networks, which naturally divides the input space into linear regions. Beginning with a category appropriate ...
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(University of Oregon, 2022-02)The application of machine learning (ML) to mitigate network-related problems continues to pose significant challenges for researchers and operators alike. For one, there is a general lack of labeled training data in ...
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(University of Oregon, 2020-09-24)Empirical thresholds for landslide warning systems have benefitted from the incorporation of soil-hydrologic monitoring data, but the mechanistic basis for their predictive capabilities is limited. Although physics-based ...
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(University of Oregon, 2022-05)Blockchain technology has been at the forefront of technological innovation for several years and presents a fascinating emerging technology to assess. Due to its cost savings, security, and reduced transaction times the ...
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(University of Oregon, 2019-09-18)I investigate the effect to which consumer heterogeneity impacts varying markets. I find that it has a substantial effect all the markets that I consider. In the US automobile industry, we model demand for the durable goods ...
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(University of Oregon, 2020-12-08)Human-object interaction detection is a relatively new task in the world of computer vision and visual semantic information extraction. The goal of human-object interaction detection is to have machines identifying ...
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(University of Oregon, 2023-03-24)This dissertation brings together a variety of tools to investigate the processes that occur within the plumbing of mafic volcanic systems. In Chapter II we use a combined isotope, trace element, and thermal modeling ...
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(University of Oregon, 2020-12-08)The increasing digitization of our social world has implications for personality, reputation, and their social consequences in online environments. The present dissertation is focused on how personality and reputation ...
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(University of Oregon, 2022-10-04)The miniaturization of sensors and their availability for biomechanical analysis outside of the laboratory has opened whole new areas of research. Wearable sensors have been developed to measure ground reaction forces, and ...
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(University of Oregon, 2023-03-24)This dissertation summarizes the work of integrating machine-learning and traditional seismic analysis techniques into large and small earthquake problems. Earthquake early warning for large magnitude earthquakes is one ...
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(University of Oregon, 2022)Critically-sized bone defects experience delayed regeneration correlated to deficient protein signaling at the injury site. Delivering the potent growth factor bone morphogenetic protein-2 (BMP-2) to the defect is a promising ...
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(University of Oregon, 2020)Shared e-scooter programs were first implemented in 2017 to solve problems with the current transportation landscape. Combining ideas from mobility as a service, micromobility, and multimodal transportation, shared e-scooter ...
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(University of Oregon, 2024-01-09)The discovery of the Higgs boson confirmed that the Standard Model is the correct description of nature below some high energy scale. However, we know the Standard Model is incomplete and have yet to find significant ...
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(University of Oregon, 2021-04-27)Semantic oppositeness is the natural counterpart of the rather more popular natural language processing concept, semantic similarity. Much like how semantic similarity is a measure of the degree to which two concepts are ...
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(University of Oregon, 2019-09-18)How we learn and remember has been the focus of centuries worth of psychological research. Category learning has been a convenient domain to study these concepts, where modern imaging evidence has shown that the brain uses ...
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(University of Oregon, 2020)The development of a statistically accurate backmapping procedure, coupled with an accurate coarse-graining (CG) method, is necessary as it would allow a system to freely transform between varying degrees of CG. This ability ...
Now showing items 1-16 of 16