Algorithmic Learning in a Random World 2024 pdf epub mobi 電子書 下載


Algorithmic Learning in a Random World

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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.

Algorithmic Learning in a Random World 2024 pdf epub mobi 電子書 下載

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發表於2024-11-24

Algorithmic Learning in a Random World 2024 pdf epub mobi 電子書 下載

Algorithmic Learning in a Random World 2024 pdf epub mobi 電子書 下載

Algorithmic Learning in a Random World 2024 pdf epub mobi 電子書 下載



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出版者:Springer
作者:Vladimir Vovk
出品人:
頁數:324
譯者:
出版時間:2005-4-18
價格:USD 149.00
裝幀:Hardcover
isbn號碼:9780387001524
叢書系列:

圖書標籤: 機器學習  svm  ml  Kernel  Algorithm   


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