arXiv (OAI Expanded)
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From Gradient Descent to Potential Theory: A Geometric Dictionary for Binary Classification
We propose a dictionary between binary classification in machine learning and classical potential theory on vector bundles. Classifiers are parallel sections of vector bundles over the data space; training labels become Dirichlet boundary conditions; the kernel of an RKHS interpolant is the Green's
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