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Subject: Machine learning
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Electronic Theses & Dissertations
12
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Theses
12
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English
12
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Miller Robert L
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Defining the characteristics and roles of functional genomic sequences using computational approaches
Lloyd, John P.
Text (2017)
Part of
Electronic Theses & Dissertations
Development and assessment of predictive models for improved swine farming
Han, Junjie, 1993-
Text (2022)
Part of
Electronic Theses & Dissertations
Predicting the properties of ligands using molecular dynamics and machine learning
Donyapour, Nazanin
Text (2022)
Part of
Electronic Theses & Dissertations
Integration of topological fingerprints and machine learning for the prediction of chemical mutagenicity
Cao, Yin (Quantitative analyst)
Text (2017)
Part of
Electronic Theses & Dissertations
Novel learning algorithms for mining geospatial data
Yuan, Shuai (Software engineer)
Text (2017)
Part of
Electronic Theses & Dissertations
Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics
Ali, Kamran (Scientist)
Text (2020)
Part of
Electronic Theses & Dissertations
Computational methods for non-ideal plasmas
Stanek, Lucas J.
Text (2022)
Part of
Electronic Theses & Dissertations
Algebraic topology and machine learning for biomolecular modeling
Cang, Zixuan
Text (2018)
Part of
Electronic Theses & Dissertations
Robust multi-task learning algorithms for predictive modeling of spatial and temporal data
Liu, Xi (Graduate of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
Efficient and secure message passing for machine learning
Liu, Xiaorui
Text (2022)
Part of
Electronic Theses & Dissertations
Developmental learning with applications to attention, task transfer and user presence detection
Huang, Xiao
Text (2005)
Part of
Electronic Theses & Dissertations
Multi-task learning and its application to geospatio-temporal data
Xu, Jianpeng
Text (2017)
Part of
Electronic Theses & Dissertations
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