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1 - Introduction

from Part I - Density-Ratio Approach to Machine Learning

Published online by Cambridge University Press:  05 March 2012

Masashi Sugiyama ,
Taiji Suzuki  and
Takafumi Kanamori
Masashi Sugiyama
Affiliation:
Tokyo Institute of Technology
Taiji Suzuki
Affiliation:
University of Tokyo
Takafumi Kanamori
Affiliation:
Nagoya University, Japan
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Density Ratio Estimation in Machine Learning , pp. 3 - 20
Publisher: Cambridge University Press
Print publication year: 2012

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  • Introduction
  • Masashi Sugiyama, Tokyo Institute of Technology, Taiji Suzuki, University of Tokyo, Takafumi Kanamori, Nagoya University, Japan
  • Book: Density Ratio Estimation in Machine Learning
  • Online publication: 05 March 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139035613.003
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  • Introduction
  • Masashi Sugiyama, Tokyo Institute of Technology, Taiji Suzuki, University of Tokyo, Takafumi Kanamori, Nagoya University, Japan
  • Book: Density Ratio Estimation in Machine Learning
  • Online publication: 05 March 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139035613.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Masashi Sugiyama, Tokyo Institute of Technology, Taiji Suzuki, University of Tokyo, Takafumi Kanamori, Nagoya University, Japan
  • Book: Density Ratio Estimation in Machine Learning
  • Online publication: 05 March 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139035613.003
Available formats
×