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What is included with this book?
Density Ratio Approach to Machine Learning: | |
Introduction | |
Methods of Density Ratio Estimation: | |
Density estimation | |
Moment matching | |
Probabilistic classification | |
Density fitting | |
Density-ratio fitting | |
Unified framework | |
Direct density-ratio estimation with dimensionality reduction | |
Applications of Density Ratios in Machine Learning: | |
Importance sampling | |
Distribution comparison | |
Mutual information estimation | |
Conditional probability estimation | |
Theoretical Analysis of Density Ratio Estimation: | |
Parametric convergence analysis | |
Non-parametric convergence analysis | |
Parametric two-sample test | |
Non-parametric numerical stability analysis | |
Conclusions: | |
Conclusions and future directions | |
Table of Contents provided by Publisher. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.