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

Algorithmic studying in a Random World describes contemporary theoretical and experimental advancements in development computable approximations to Kolmogorov's algorithmic inspiration of randomness. in keeping with those approximations, a brand new set of computing device 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 sustaining and identically disbursed (assumption of randomness). one other target of this specific monograph is to stipulate a few limits of predictions: The procedure in keeping with algorithmic concept of randomness allows the evidence of impossibility of prediction in yes events. The publication describes how numerous vital computer studying difficulties, comparable 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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