Density Ratio Estimation in Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori 作者

Cambridge University Press

譯者

2012-2 出版日期

342 頁數

792.00元價格

Hardcover

叢書系列

9780521190176 圖書編碼

Density Ratio Estimation in Machine Learning 在線電子書圖書標籤: Machine_Learning TML Density-Ratio Clustering

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發表於2024-12-23

Density Ratio Estimation in Machine Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Density Ratio Estimation in Machine Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Density Ratio Estimation in Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Density Ratio Estimation in Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Density Ratio Estimation in Machine Learning 在線電子書圖書描述

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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