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Tutorial 9: Conclusion



In this tutorial, you learned about Support Vector Machines (SVMs) and to train a committee of SVMs to predict the classes of new samples.

When you are finished, you can close all the open plots either by clicking on the 'x' box in the upper-right hand corner of each, or by selecting Close All from the Window menu.



[1] 'Class Prediction and Discovery Using Gene Expression Data', Donna K. Slonim, Pablo Tamayo, Jill P. Mesirov, Todd R. Golub, Eric S. Lander. RECOMB 2000.

[2] 'Support Vector Machine Classification of Micorarray Data', S. Mukherjee, P. Tamayo, D. Slonim , A. Verri, T. Golub, J. Mesirov , and T. Poggio. A. I. Memo No. 1677.

[3] 'Classification by Support Vector Machines', Florian Markowetz, Workshop on Practical Microarray Analysis, Heidelberg, Sept 26, 2002.

[4] 'Statistical Learning Theory', V. Vapnik Wiley, New York, 1998.


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