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Electronic Theses & Dissertations
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Evolving artificial neural networks with generative encodings inspired by developmental biology
Clune, Jeff
Text (2010)
Part of
Electronic Theses & Dissertations
Analytical formulation for static and temporal patern association : neural architectures and algorithms
Hou, Jiansheng
Text (1997)
Part of
Electronic Theses & Dissertations
Ultrasonic material characterization and imaging by unsupervised learning
Sheu, Jeng Tzong
Text (1994)
Part of
Electronic Theses & Dissertations
Optimizing for mental representations in the evolution of artificial cognitive systems
Kirkpatrick, Douglas Andrew
Text (2021)
Part of
Electronic Theses & Dissertations
Variational bayes deep neural network : theory, methods and applications
Liu, Zihuan
Text (2021)
Part of
Electronic Theses & Dissertations
Network embeddings for data clustering, transition state identification, and energy landscape analysis
Mercurio, Paula
Text (2022)
Part of
Electronic Theses & Dissertations
Robust learning of deep neural networks under data corruption
Liu, Boyang
Text (2022)
Part of
Electronic Theses & Dissertations
Generative signal processing through multilayer multiscale wavelet models
He, Jieqian
Text (2021)
Part of
Electronic Theses & Dissertations
New perspectives in neural architecture search : architecture embeddings, efficient performance estimations, and their applications
Yan, Shen (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Out-of-distribution generalization in graph neural networks : problems, methods and applications
Wang, Yiqi, 1995-
Text (2022)
Part of
Electronic Theses & Dissertations
Consistent Bayesian learning for neural network models : theory and computation
Jantre, Sanket Rajendra
Text (2022)
Part of
Electronic Theses & Dissertations
Exploring joint-level control in evolutionary robotics
Moore, Jared M.
Text (2015)
Part of
Electronic Theses & Dissertations
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