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Electronic Theses & Dissertations
71
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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
Computational methods for non-ideal plasmas
Stanek, Lucas J.
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
Collaborative learning : theory, algorithms, and applications
Lin, Kaixiang
Text (2020)
Part of
Electronic Theses & Dissertations
Efficient distributed algorithms : better theory and communication compression
Li, Yao (Graduate of Michigan State University)
Text (2022)
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
Learning from noisily connected data
Yang, Tianbao
Text (2012)
Part of
Electronic Theses & Dissertations
Supervised learning of feedforward artificial neural networks using different energy functions
Ahmad, Maqbool
Text (1991)
Part of
Electronic Theses & Dissertations
Learning 3D model from 2D in-the-wild images
Tran, Luan Quoc
Text (2020)
Part of
Electronic Theses & Dissertations
Learning with structures
Zhou, Yang
Text (2010)
Part of
Electronic Theses & Dissertations
Efficient transfer learning for heterogeneous machine learning domains
Zhu, Zhuangdi
Text (2022)
Part of
Electronic Theses & Dissertations
Data quality control and inter-functional analysis on dynamic phenotype-environmental relationships
Xu, Lei
Text (2016)
Part of
Electronic Theses & Dissertations
Ultrasonic material characterization and imaging by unsupervised learning
Sheu, Jeng Tzong
Text (1994)
Part of
Electronic Theses & Dissertations
Dav : a humanoid platform and developmental learning with case studies
Zeng, Shuqing
Text (2004)
Part of
Electronic Theses & Dissertations
Hierarchical learning for large multi-class classification in network data
Liu, Lei
Text (2015)
Part of
Electronic Theses & Dissertations
Cortex-inspired developmental learning for vision-based navigation, attention and recognition
Ji, Zhengping
Text (2009)
Part of
Electronic Theses & Dissertations
Machine learning method for authorship attribution
Hu, Xianfeng
Text (2015)
Part of
Electronic Theses & Dissertations
Eigenvector continuation : convergence and emulators
Sarkar, Avik, (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Boosting and online learning for classification and ranking
Valizadegan, Hamed
Text (2010)
Part of
Electronic Theses & Dissertations
Clustering, dimensionality reduction, and side information
Law, Hiu Chung
Text (2006)
Part of
Electronic Theses & Dissertations
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