An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Book information
Description
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study.
Similar books
The Theory of Quantum Information
2018 · PDF
Insider Threats
2018 · PDF
The Digital Era 1: Big Data Stakes
2018 · PDF
Synthetic Biology: Parts, Devices and Applications
2018 · PDF
Information and Communication Technology for Development (ICT4D)
2017 · EPUB
Cambridge Technicals Level 3 IT
2016 · PDF
Bioinformatics: A Practical Handbook of Next Generation Sequencing and Its Applications
2017 · PDF
Applied Mechanics
1996 · PDF