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...
| Publicado en: | Machine learning. 57, 3 (2004). |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Lenguaje: | English |
| Materias: |