<p><P>Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use as is often don
Statistical Learning Theory and Stochastic Optimization: Ecole d’Eté de Probabilités de Saint-Flour XXXI - 2001
✍ Scribed by Olivier Catoni (auth.), Jean Picard (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2004
- Tongue
- English
- Leaves
- 273
- Series
- Lecture Notes in Mathematics 1851
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Subjects
Statistical Theory and Methods; Optimization; Artificial Intelligence (incl. Robotics); Information and Communication, Circuits; Probability Theory and Stochastic Processes; Numerical Analysis
📜 SIMILAR VOLUMES
<p><P>Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use as is often don
<p><P>Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use as is often don