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Book Description

Table of Contents

- Preface
- Introduction
- Density Estimation
- Optimization
- Online Learning and Boosting
- Conditional Densities
- Kernels and Function Spaces
- Linear Models
- to 1.15Appendix 1Linear Algebra and Functional Analysis
- to 1.15Appendix 2Conjugate Distributions
- to 1.15Appendix 3Loss Functions
- Bibliography

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