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...
| Wydane w: | Machine learning. 57, 3 (2004). |
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| 1. autor: | |
| Format: | Artykuł |
| Język: | English |
| Hasła przedmiotowe: |