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Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning
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Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning
Dimension Reduction
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Authors: Christopher J. C. Burges
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We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the ma
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Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. However, thorough parameter studies
Regression Graphics
Language: en
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An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics i