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Results tagged with kernel-trick
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user 40917
Kernel methods are used in machine learning to generalize linear techniques to nonlinear situations, especially SVMs, PCA, and GPs. Not to be confused with [kernel-smoothing], for kernel density estimation (KDE) and kernel regression.
4
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1
answer
548
views
Clustering structured data: Assessing the similarity of documents that appear in tree structure
Usually when performing text document clustering, similarities across documents are assessed based on the lexical content of documents. But, in my problem, I wish to consider both the lexical content …
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