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 “"Sparse classification"”.
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Towards an Artificial Neuroscience: Analytics for Language Model Interpretability
… systems modeling. In Chapter 2, we adapt optimal sparse classification methods to neural network probing, allowing us to study how concepts are represented across multiple neurons. This sparse probing technique reveals both monosemantic neurons (dedicated to single concepts) and polysemantic …
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Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights
… learning and high-dimensional statistics. While sparse learning problems can be naturally modeled using discrete optimization, computational challenges have historically shifted the focus towards alternatives based on continuous optimization and heuristics. Recently, growing evidence suggests …
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Sparsity in Machine Learning: Theory and Applications
… It offers a rigorous framework to build sparse models and has proved to provide more accurate and sparse models than other approaches including the ones using sparsity-inducing regularization norms. This thesis focuses on the application of integer optimization to address sparsity …
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Computational seismic interpretation using attention models, texture dissimilarity, and learning
The exploration of oil and gas is a vital part of today's increasing power demands to meet the energy we need to power our homes, businesses, and transportation. Oil and gas explorers use seismic surveys, both onshore and offshore, to produce detailed images of the various rock types, layers, and …