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Algorithmic learning in a random world

A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.

Detalles Bibliográficos
Autores principales: Vovk, Vladimir, Gammerman, Alex, Shafer, Glenn
Lenguaje:eng
Publicado: Springer 2005
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2283220