Kernels and Distances for Structured Data.

This paper brings together two strands of machine learning of increasing importance: kernel methods and highly structured data. We propose a general method for constructing a kernel following the syntactic structure of the data, as defined by its type signature in a higher-order logic. Our main theo...

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Xehetasun bibliografikoak
Argitaratua izan da:Machine learning. 57, 3 (2004).
Egile nagusia: Gartner, Thomas
Formatua: Artikulua
Hizkuntza:English
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