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What is Regularized Least-Squares Classification about?

This summary provides the key details about Regularized Least-Squares Classification (RLSC) in 3 sentences or less: RLSC is a binary classification algorithm that uses a squared loss function and Tikhonov regularization in a Reproducing Kernel Hilbert Space. It finds the optimal solution by solving a single system of linear equations, unlike Support Vector Machines which require solving a convex quadratic program. Empirically, RLSC has equivalent performance to SVMs on several datasets while requiring less

Author

galaxystar

Language

EN