Density Ratio Estimation in Machine Learning
eBook - PDF

Density Ratio Estimation in Machine Learning

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Density Ratio Estimation in Machine Learning

About this book

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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Yes, you can access Density Ratio Estimation in Machine Learning by Masashi Sugiyama,Taiji Suzuki,Takafumi Kanamori in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Density Ratio Estimation in Machine Learning
  3. Title
  4. Copyright
  5. Contents
  6. Foreword
  7. Preface
  8. Part I Density-Ratio Approach to Machine Learning
  9. Part II Methods of Density-Ratio Estimation
  10. Part III Applications of Density Ratios in Machine Learning
  11. Part IV Theoretical Analysis of Density-Ratio Estimation
  12. Part V Conclusions