Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Prediction with Expert Advice
- 3 Tight Bounds for Specific Losses
- 4 Randomized Prediction
- 5 Efficient Forecasters for Large Classes of Experts
- 6 Prediction with Limited Feedback
- 7 Prediction and Playing Games
- 8 Absolute Loss
- 9 Logarithmic Loss
- 10 Sequential Investment
- 11 Linear Pattern Recognition
- 12 Linear Classification
- Appendix
- References
- Author Index
- Subject Index
References
Published online by Cambridge University Press: 03 December 2009
Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction
- 2 Prediction with Expert Advice
- 3 Tight Bounds for Specific Losses
- 4 Randomized Prediction
- 5 Efficient Forecasters for Large Classes of Experts
- 6 Prediction with Limited Feedback
- 7 Prediction and Playing Games
- 8 Absolute Loss
- 9 Logarithmic Loss
- 10 Sequential Investment
- 11 Linear Pattern Recognition
- 12 Linear Classification
- Appendix
- References
- Author Index
- Subject Index
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- Prediction, Learning, and Games , pp. 373 - 386Publisher: Cambridge University PressPrint publication year: 2006