Algorithmic Learning in a Random World

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to...
$611.50 AUD
$611.50 AUD
SKU: 9783031066481
Product Type: Books
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Author: Vladimir Vovk
Format: Hardcover
Language: English
Subtotal: $611.50
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Algorithmic Learning in a Random World by Vovk, Vladimir

Algorithmic Learning in a Random World

$611.50

Algorithmic Learning in a Random World

$611.50
Author: Vladimir Vovk
Format: Hardcover
Language: English
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.

Author: Vladimir Vovk, Alexander Gammerman, Glenn Shafer
Publisher: Springer
Published: 12/14/2022
Pages: 502
Binding Type: Hardcover
Weight: 1.93lbs
ISBN: 9783031066481

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