TY  - BOOK
AU  - Mohri,Mehryar 
TI  - Foundations of machine learning
SN  - 9780262018258
PY  - 2012///]
CY  - Massachusetts
PB  - MIT Press, London
N1  - 1 Introduction
2 The PAC Learning Framework
3 Rademacher Complexity and VC Dimension
4 Support Vector Machines
5 Kernel Methods
6 Boosting
7 OnLine Learning
8 MultiClass Classification
9 Ranking
10 Regression
11 Algorithmic Stability
12 Dimensionality Reduction
13 Learning Automata and Languages
14 Reinforcement Learning
Conclusion
N2  - This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.
ER  -