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

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Vladimir Vovk 作者

Springer

译者

2005-4-18 出版日期

324 页数

USD 149.00 价格

Hardcover

丛书系列

9780387001524 图书编码

Algorithmic Learning in a Random World 在线电子书图书标签: 机器学习 svm ml Kernel Algorithm

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

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

Algorithmic Learning in a Random World 在线电子书图书描述

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.

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