Advances in kernel methods: towards general-purpose and scalable models
<p>A wide range of statistical and machine learning problems involve learning one or multiple latent functions, or properties thereof, from datasets. Examples include regression, classification, principal component analysis, optimisation, learning intensity functions of point processes and rei...
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| Aineistotyyppi: | Opinnäyte |
| Kieli: | English |
| Julkaistu: |
2017
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