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Found 2 papers, 1 papers with code
Faster SVM Training via Conjugate SMO
We propose an improved version of the SMO algorithm for training classification and regression SVMs, based on a Conjugate Descent procedure.
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
Non-linear dimensionality reduction techniques such as manifold learning algorithms have become a common way for processing and analyzing high-dimensional patterns that often have attached a target that corresponds to the value of an unknown function.
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