Density Ratio Estimation in Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori 作者

Cambridge University Press

译者

2012-2 出版日期

342 页数

792.00元价格

Hardcover

丛书系列

9780521190176 图书编码

Density Ratio Estimation in Machine Learning 在线电子书图书标签: Machine_Learning TML Density-Ratio Clustering

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Density Ratio Estimation in Machine Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Density Ratio Estimation in Machine Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Density Ratio Estimation in Machine Learning 在线电子书图书描述

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric convergence analysis and numerical stability analysis to complete the first and definitive treatment of the entire framework of density ratio estimation in machine learning.

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