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...
| Publié dans: | Machine learning. 57, 3 (2004). |
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| Auteur principal: | |
| Format: | Article |
| Langue: | English |
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