- Title Pages
- Adaptive Computation and Machine Learning
1Introduction and Problem Formulation
5Direct Density-Ratio Estimation with Dimensionality Reduction
6Relation to Sample Selection Bias
7Applications of Covariate Shift Adaptation
9Active Learning with Model Selection
10Applications of Active Learning
11Conclusions and Future Prospects
Appendix:List of Symbols and Abbreviations
- Machine Learning in Non-Stationary Environments
- The MIT Press
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