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Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey
This study is an application of machine learning in identifying the underlying patterns in the data of 30 countries participating in the World Value Survey.
Learning-Based Nonlinear $H^\infty$ Control via Game-Theoretic Differential Dynamic Programming
In this work, we present a learning-based nonlinear $H^\infty$ control algorithm that guarantee system performance under learned dynamics and disturbance estimate.
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