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Electronic Theses & Dissertations
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Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization
Gaur, Abhinav
Text (2020)
Part of
Electronic Theses & Dissertations
Data-driven multi-scale modeling, analysis and simulation of material failure
Barros de Moraes, Eduardo Augusto
Text (2022)
Part of
Electronic Theses & Dissertations
Machines, analysts, and financial markets
Wang, Xinyu (Graduate of Michigan State University)
Text (2021)
Part of
Electronic Theses & Dissertations
Data-driven dynamic nonlocal subgrid-scale modeling for the large eddy simulation of turbulent flows
Seyedi, Seyedhadi
Text (2022)
Part of
Electronic Theses & Dissertations
Clustering, dimensionality reduction, and side information
Law, Hiu Chung
Text (2006)
Part of
Electronic Theses & Dissertations
Computational methods for non-ideal plasmas
Stanek, Lucas J.
Text (2022)
Part of
Electronic Theses & Dissertations
Optimal learning of deployment and search strategies for robotic teams
Wei, Lai
Text (2021)
Part of
Electronic Theses & Dissertations
Analog CMOS implementation of artificial neural networks for temporal signal learning
Oh, Hwa-Joon
Text (1996)
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
Eigenvector continuation : convergence and emulators
Sarkar, Avik, (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Learning from noisily connected data
Yang, Tianbao
Text (2012)
Part of
Electronic Theses & Dissertations
Dav : a humanoid platform and developmental learning with case studies
Zeng, Shuqing
Text (2004)
Part of
Electronic Theses & Dissertations
Multi-task learning and its application to geospatio-temporal data
Xu, Jianpeng
Text (2017)
Part of
Electronic Theses & Dissertations
Learning paradigms for the identification of elastic properties of composites using ultrasonic guided waves
Gopalakrishnan, Karthik
Text (2020)
Part of
Electronic Theses & Dissertations
Real-time human/group interaction monitoring platform integrating sensor fusion and machine learning approaches
Davila-Montero, Sylmarie
Text (2022)
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
Novel learning algorithms for mining geospatial data
Yuan, Shuai (Software engineer)
Text (2017)
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
Algorithms for noisy quantum computers and techniques for error mitigation
LaRose, Ryan
Text (2022)
Part of
Electronic Theses & Dissertations
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