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

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 proposal of randomness. in accordance 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 less than the standard assumption that the information are self reliant and identically dispensed (assumption of randomness). one other goal of this exact monograph is to stipulate a few limits of predictions: The process in line with algorithmic conception of randomness enables the facts of impossibility of prediction in sure occasions. The ebook describes how a number of very important computer 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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