Algorithmic Learning in a Random World - Vladimir Vovk,Alexander Gammerman,Glenn Shafer
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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 ... Full description
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Description
More Information
| Author | Vladimir Vovk, Alexander Gammerman, Glenn Shafer |
|---|---|
| Publisher | Springer Science & Business Media |
| Release year | 2005 |
| Cover type | Hardcover |
| EAN | 9780387001524 |