Chapter 5. Quadratic Programming and Machine Learning — Large Scale Problems and Sparsity

  1. Patrick Siarry
  1. Gaëlle Loosli and
  2. Stéphane Canu

Published Online: 27 JAN 2010

DOI: 10.1002/9780470611319.ch5

Optimization in Signal and Image Processing

Optimization in Signal and Image Processing

How to Cite

Loosli, G. and Canu, S. (2009) Quadratic Programming and Machine Learning — Large Scale Problems and Sparsity, in Optimization in Signal and Image Processing (ed P. Siarry), ISTE, London, UK. doi: 10.1002/9780470611319.ch5

Publication History

  1. Published Online: 27 JAN 2010
  2. Published Print: 1 JAN 2009

ISBN Information

Print ISBN: 9781848210448

Online ISBN: 9780470611319

SEARCH

Keywords:

  • dual forms;
  • primal;
  • sparsity;
  • decomposition;
  • empirical complexity

Summary

This chapter contains sections titled:

  • Introduction

  • Learning processes and optimization

  • From learning methods to quadratic programming

  • Methods and resolution

  • Experiments

  • Conclusion

  • Bibliography