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 4 of 4 for “"regression learning"”.
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Neural Networks on Eigenvector Data
… are provably powerful for graph representation learning, as they can approximate several classes of important functions on graphs. Our networks empirically improve machine learning models with eigenvectors, in tasks including molecular graph regression, learning expressive graph representations, …
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Compacted Snow Testing Methodology and Instrumentation
… of snow properties. In addition, analysis using regression models and principal component analysis is performed to understand the extent to which specific measurements related to snow affect the traction of the tire. It was found that the compressive and shear properties of snow contribute more …
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Guidance Index for Shallow Landslide Hazard Analysis
… mathematical model is based on a logistic regression-learning algorithm that systematically adapts from previous landslide events listed in a comprehensive landslide inventory. Because landslides are considered to be the product of the interaction of static and dynamic factors, static …
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Machine Learning to Predict Warhead Fragmentation In-Flight Behavior from Static Data
… detonations. This research leverages machine learning methodologies to predict fragmentation characteristics using data from this imaging technique and simulation data combined. Gaussian mixture models (GMMs), fit via expectation maximization (EM), are used to model fragment track …