Algorithmic learning in a random world

"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...

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Detalles Bibliográficos
Otros Autores: Vovk, Vladimir, 1960- autor (autor), Gammerman, A. (Alexander), autor, Shafer, Glenn, 1946- autor
Formato: Libro
Idioma:Inglés
Publicado: New York : Springer [2005]
Materias:
Ver en Universidad de Navarra:https://unika.unav.edu/discovery/fulldisplay?docid=alma991004645519708016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es

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