Show Summary Details
- Title Pages
- Series Foreword
- Preface
- 1 When Training and Test Sets Are Different: Characterizing Learning Transfer
- Projection and Projectability
- 3 Binary Classification under Sample Selection Bias
- 4 On Bayesian Transduction: Implications for the Covariate Shift Problem
- 5 On the Training/Test Distributions Gap: A Data Representation Learning Framework
- 6 Geometry of Covariate Shift with Applications to Active Learning
- 7 A Conditional Expectation Approach to Model Selection and Active Learning under Covariate Shift
- 8 Covariate Shift by Kernel Mean Matching
- 9 Discriminative Learning under Covariate Shift with a Single Optimization Problem
- 10 An Adversarial View of Covariate Shift and a Minimax Approach
- 11 Author Comments
- References
- Notation and Symbols
- Contributors
- Index
(p.x) (p.xi) Preface
(p.x) (p.xi) Preface
- Source:
- Dataset Shift in Machine Learning
- Publisher:
- The MIT Press
MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.
- Title Pages
- Series Foreword
- Preface
- 1 When Training and Test Sets Are Different: Characterizing Learning Transfer
- Projection and Projectability
- 3 Binary Classification under Sample Selection Bias
- 4 On Bayesian Transduction: Implications for the Covariate Shift Problem
- 5 On the Training/Test Distributions Gap: A Data Representation Learning Framework
- 6 Geometry of Covariate Shift with Applications to Active Learning
- 7 A Conditional Expectation Approach to Model Selection and Active Learning under Covariate Shift
- 8 Covariate Shift by Kernel Mean Matching
- 9 Discriminative Learning under Covariate Shift with a Single Optimization Problem
- 10 An Adversarial View of Covariate Shift and a Minimax Approach
- 11 Author Comments
- References
- Notation and Symbols
- Contributors
- Index
