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Showing 1 to 3 of 3 for “"tree kernel functions"”.
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Greedy Feature Selection in Tree Kernel Spaces
Tree Kernel functions are powerful tools for solving different classes of problems requiring large amounts of structured information. Combined with accurate learning algorithms, such as Support Vector Machines, they allow us to directly encode rich syntactic data in our learning problems without …
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Kernel Methods for Tree Structured Data
… techniques for dealing with structured data, kernel methods are recognized to have a strong theoretical background and to be effective approaches. They do not require an explicit vectorial representation of the data in terms of features, but rely on a measure of similarity between any pair of …