Download e-book for iPad: Algorithmic Learning in a Random World by Vladimir Vovk,Alex Gammerman,Glenn Shafer

By Vladimir Vovk,Alex Gammerman,Glenn Shafer

ISBN-10: 0387001522

ISBN-13: 9780387001524

ISBN-10: 1441934715

ISBN-13: 9781441934710

Algorithmic studying in a Random World describes contemporary theoretical and experimental advancements in development computable approximations to Kolmogorov's algorithmic thought of randomness. in response to those approximations, a brand new set of computer studying algorithms were constructed that may be used to make predictions and to estimate their self assurance and credibility in high-dimensional areas below the standard assumption that the information are self sustaining and identically allotted (assumption of randomness). one other goal of this designated monograph is to stipulate a few limits of predictions: The method in line with algorithmic concept of randomness permits the evidence of impossibility of prediction in convinced occasions. The publication describes how a number of vital desktop studying difficulties, resembling density estimation in high-dimensional areas, can't be solved if the one assumption is randomness.

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Algorithmic Learning in a Random World by Vladimir Vovk,Alex Gammerman,Glenn Shafer

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