Algorithmic Learning in a Random World pdf epub mobi txt 电子书 下载 2024


Algorithmic Learning in a Random World

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Vladimir Vovk
Springer
2005-4-18
324
USD 149.00
Hardcover
9780387001524

图书标签: 机器学习  svm  ml  Kernel  Algorithm   


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发表于2024-11-22

Algorithmic Learning in a Random World epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Algorithmic Learning in a Random World epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Algorithmic Learning in a Random World pdf epub mobi txt 电子书 下载 2024



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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.

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