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...

詳細記述

書誌詳細

出版年:	Machine learning. 57, 3 (2004).
第一著者:	Gartner, Thomas
フォーマット:	論文
言語:	English
主題:	Kernel methods. Structured data. Inductive logic programming. Higher order logic. Instance based learning.