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Keyword: Machine Learning
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Subject: Machine learning
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Electronic Theses & Dissertations
37
Material Type
Theses
37
Language
English
37
Copyright Status
Creative Commons Licensed
18
In Copyright
19
Subject
Accelerometers
1
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1
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1
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6
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2
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1
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1
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1
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1
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2
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1
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1
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1
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1
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1
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1
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1
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IceCube South Pole Neutrino Observatory
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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3
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1
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1
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1
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1
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1
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1
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3
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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Data-driven multi-scale modeling, analysis and simulation of material failure
Barros de Moraes, Eduardo Augusto
Text (2022)
Part of
Electronic Theses & Dissertations
Machine learning for pose selection
Pei, Jun (Graduate of Michigan State University)
Text (2020)
Part of
Electronic Theses & Dissertations
Adaptive on-device deep learning systems
Fang, Biyi
Text (2019)
Part of
Electronic Theses & Dissertations
Use of accelerometry and machine learning to measure free-living physical activity and sedentary behavior
Montoye, Alexander Henry
Text (2014)
Part of
Electronic Theses & Dissertations
Multi-task learning and its application to geospatio-temporal data
Xu, Jianpeng
Text (2017)
Part of
Electronic Theses & Dissertations
Integration of topological data analysis and machine learning for small molecule property predictions
Wu, Kedi
Text (2018)
Part of
Electronic Theses & Dissertations
Machine learning for the study of gene regulation and complex traits
Sonnenschein, Anne
Text (2017)
Part of
Electronic Theses & Dissertations
Hierarchical learning for large multi-class classification in network data
Liu, Lei
Text (2015)
Part of
Electronic Theses & Dissertations
Learning from noisily connected data
Yang, Tianbao
Text (2012)
Part of
Electronic Theses & Dissertations
Data-driven and task-specific scoring functions for predicting ligand binding poses and affinity and for screening enrichment
Ashtawy, Hossam Mohamed Farg
Text (2017)
Part of
Electronic Theses & Dissertations
Data interpretation frameworks employing machine learning for energy-lean data-driven structural health monitoring with novel self-powered sensing technology
Salehi, Hadi
Text (2019)
Part of
Electronic Theses & Dissertations
Learning with structures
Zhou, Yang
Text (2010)
Part of
Electronic Theses & Dissertations
Towards machine learning based source identification of encrypted video traffic
Shi, Yan (Of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
The evolution of neural plasticity in digital organisms
Sheneman, Leigh
Text (2017)
Part of
Electronic Theses & Dissertations
Machine learning method for authorship attribution
Hu, Xianfeng
Text (2015)
Part of
Electronic Theses & Dissertations
Smartphone-based sensing systems for data-intensive applications
Moazzami, Mohammad-Mahdi
Text (2017)
Part of
Electronic Theses & Dissertations
Defining the characteristics and roles of functional genomic sequences using computational approaches
Lloyd, John P.
Text (2017)
Part of
Electronic Theses & Dissertations
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