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 6 of 6 for “"structure inference"”.
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A statistical image-based shape model for visual hull reconstruction and 3D structure inference
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Infrastructure for modeling and inference engineering with 3D generative scene graphs
… specification, visualization, priors, structure inference, hyperparameters tuning, and benchmarking. In this thesis, I describe the development of infrastructure to enable the development and research of scene graph models by researchers and practitioners. A description of a preliminary …
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Interdisciplinary Studies of Complex Network and Machine Learning and Its Applications
… the concept of network-based statistical inference methods of two types: network structure inference and variable inference. For network structure inference, we introduce correlation matrix, graphical Lasso, network clustering and identify the influencer in the network. For variable …
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Bayesian network models of biological signaling pathways
… for automatically reverse-engineering the structure of a signaling pathway, from high-throughput data. We apply Bayesian network structure inference to signaling protein measurements performed in thousands of single cells, using a machine called a flow cytorneter. Our de novo reconstruction …
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An Assessment of Caribou (Rangifer tarandus) Genomic Diversity and Structure in Western Canada to Guide Species Conservation and Management
… The use of genomic technologies, such as the inference of genetic structure, can aid species conservation and prevent population declines. Particularly for caribou (Rangifer tarandus), which are considered an at-risk species across Canada, determining population genetic structure can help …
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Towards Models Mesoscale Chromatin Structure and Radiative DNA Damage via Computational Simulation
… We therefore sought to develop a structural inference tool for inferring mesoscale chromatin structures consistent with such contact data sets. We have built a Bayesian inference framework that combines a simplified worm-like chain model of DNA and steric interactions between nucleosomes with …