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.

Author: Vladimir Vovk, Alex Gammerman, Glenn Shafer
Publisher: Springer
Published: 03/22/2005
Pages: 324
Binding Type: Hardcover
Weight: 1.53lbs
Size: 9.56h x 6.40w x 0.95d
ISBN: 9780387001524

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