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

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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 fresh theoretical and experimental advancements in development computable approximations to Kolmogorov's algorithmic concept of randomness. in keeping with 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 lower than the standard assumption that the knowledge are self sufficient and identically disbursed (assumption of randomness). one other target of this detailed monograph is to stipulate a few limits of predictions: The method in line with algorithmic concept of randomness makes it possible for the facts of impossibility of prediction in yes events. The booklet describes how numerous vital computer studying difficulties, corresponding 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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