An analogue circuit for sequential minimal optimization for support vector machines

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6979, Issue , 2008, Pages

  Jiménez, Matías ^a   Lamela, Horacio ^a   Gimeno, Jesús ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Quadratic Programming (QP); Sequential Minimal Optimization (SMO); Support Vector Machine (SVM) training

Indexed keywords

ALGORITHMS; OPTIMIZATION; QUADRATIC PROGRAMMING;

ANALOGUE CIRCUIT; SEQUENTIAL MINIMAL OPTIMIZATION (SMO);

SUPPORT VECTOR MACHINES;

EID: 43549100430     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.787474     Document Type: Conference Paper

References (6)

1. Platt, J. C., "Fast training of support vector machines using sequential minimal optimization," 185-208 (1999).
2. D. Anguita, S. Ridella, S. R., "Circuital implementation of support vector machines," Electronic Letters 34(16), 1596-1597 (1998).
3. Xia, Y., "One layer recurrent neural network for support vector machine learning," IEEE Trans, Systems, Man and Cybernetics - Part B: Cybernetics 34(2), 1261-1269 (2004).
4. Burges, C. J. C., [A Tutorial for Support Vector Machines for Pattern Recognition], vol. 2 (1998).
5. M. P. Kennedy, L. O. C., "Neural networks for nonlinear programming," IEEE Trans. Circuits Sys, 554-562 (1998).
6. R. E. Fan, P. H. Chen, C. J. L., "Working set selection using second order information for training support vector machines," Journal of Machine Learning Research (2005).