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 construction computable approximations to Kolmogorov's algorithmic inspiration of randomness. in keeping with those approximations, a brand new set of desktop studying algorithms were built that may be used to make predictions and to estimate their self belief and credibility in high-dimensional areas lower than the standard assumption that the information are autonomous and identically allotted (assumption of randomness). one other target of this particular monograph is to stipulate a few limits of predictions: The method in response to algorithmic conception of randomness enables the evidence of impossibility of prediction in sure events. The ebook describes how numerous very important computing device studying difficulties, equivalent to density estimation in high-dimensional areas, can't be solved if the single assumption is randomness.

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

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