Algorithmic Learning in a Random World - Vladimir Vovk,Alexander Gammerman,Glenn Shafer
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30 dienu atgriešanas politika
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual ass ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Autors | Vladimir Vovk, Alexander Gammerman, Glenn Shafer |
|---|---|
| Izdevējs | Springer Science & Business Media |
| Izlaides gads | 2005 |
| Vāka tips | Cietais vāks |
| EAN | 9780387001524 |