Training and analysis of support vector machine using sequential minimal optimization

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2008, Pages 373-378

  Shahbudin, S ^a   Hussain, A ^a   Samad, S A ^a   Md Tahir, N ^b  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Chunking algorithm; Decision boundaries; Sequential Minimal Optimization; Support vector machine

Indexed keywords

CHUNKING ALGORITHM; CLASSIFICATION PERFORMANCE; CLASSIFICATION RATES; CPU TIME; DATA SETS; DECISION BOUNDARIES; DECISION BOUNDARY; QUADRATIC PROGRAMMING OPTIMIZATION PROBLEMS; SEQUENTIAL MINIMAL OPTIMIZATION; SIMILAR PATTERN; SMO ALGORITHMS; SUPPORT VECTOR; TRAINING DATA; TRAINING DATASET;

ALGORITHMS; CONTROL THEORY; CYBERNETICS; IMAGE RETRIEVAL; OPTIMIZATION; QUADRATIC PROGRAMMING; SUPPORT VECTOR MACHINES; VECTORS;

SEQUENTIAL SWITCHING;

EID: 69949162490     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2008.4811304     Document Type: Conference Paper

References (13)

1. V.N. Vapnik, "The nature of statistical learning theory," Springer, New York, 1995.
2. N. Cristianini, J. Shawe-Taylor, "An Introduction to Support Vector Machines: and other kernel-based learning methods," New York: Cambridge University Press, 2000.
3. J. Platt, "Fast training of support vector machines using sequential minimal optimization:' in Advances in Kemrl Marhods-Support Vector Laming, B. Schdlkopi, C.1.C Burges. and A.J. Smala. editors, pages 185-208. MIT Press, Cambridge. MA, 1999.
4. Ginny Mak, "The Implementation Of Support vector machines using the sequential minimal optimization algorithm," Master thesis, 2000.
5. E. Osuna, R. Freund and F. Girosi, "Support vector machines: Training and Applications," A.I. Memo AIM-1602, MIT A.I. Lab, 1996.
6. Francis R. Bach & Gert R. G. Lanckriet, Michael I. Jordan, "Fast kernel learning using sequential minimal optimization," Report No. UCB/CSD-04-1307 February, 2004.
7. Shiego Abe, "Support vector machines for pattern classification" Advances in Pattern Recognition, Springer 2005.
8. Michael P. S. Brown, William Noble Grundy, David Lin, Nello Cristianini, Charles Sugnet, Manuel Ares, Jr. David Haussler, "Support Vector Machine Classification of Microarray Gene Expression Data," Technical Report No: UCSC-CRL-99-09, June 12, 1999.
9. C. Burges and V. Vapnik, "A new method for constructing artifial neural networks," Technical report, AT&T Bell Laboratories, May 1995
10. V. Vapnik, "Estimation of Dependences Based on Empirical Data," Springer-Verlag, 1982.
11. Nooritawati Md Tahir, Aini Hussain, Salina Abdul Samad, Hafizah Husain & Mohd Marzuki Mustafa, "Eigenposture For Classification" Journal of Applied Sciences, Asian Network for Scientific Information, ANSINET, 6(2), 2006.
12. Statistical Pattern Recognition Toolbox http://cmp.felk.cvut.cz/cmp/ software/stprtool/index.html
13. B.D. Ripley, "Neural networks and related methods for classification," J. Royal Statistical Soc. Series B, 56: pp. 409-456, 1994.