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

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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2024-06-02

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

图书描述

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 下载 mobi epub pdf txt 电子书