This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...
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Amanda turns to weight loss medication
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Abstract: Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this ...
An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...
Abstract: This paper proposes a pattern recognition method for the fault diagnosis of machinery based on an enhanced trace ratio linear discriminant analysis (ETR-LDA) algorithm. It is an extension of ...
This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Data-Driven Finance (2nd edition) by Yves Hilpisch. Visit ...
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