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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Bibliographic Details

Published in:	Machine learning. 57, 3 (2004).
Main Author:	Gartner, Thomas
Format:	Article
Language:	English
Subjects:	Kernel methods. Structured data. Inductive logic programming. Higher order logic. Instance based learning.