The 
Mathematica Journal
Volume 10, Issue 1

Search

In This Issue
Articles
Trott's Corner
New Products
New Publications
Calendar
News Bulletins
New Resources
Classifieds

Download This Issue 

About the Journal
Editorial Policy
Staff and Contributors
Submissions
Subscriptions
Advertising
Back Issues
Contact Information

A Flexible Implementation for Support Vector Machines
Roland Nilsson
Johan Björkegren
Jesper Tegnér

References

[1] G. Casella and R. L. Berger, Statistical Inference, 2nd ed., Belmont, CA: Duxbury Press, 2002.

[2] S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed., Englewood Cliffs, NJ: Prentice Hall, 1999.

[3] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Englewood Cliffs, NJ: Prentice Hall, 1995.

[4] N. Friedman, "Inferring Cellular Networks Using Probabilistic Graphical Models," Science, 303, 2004 pp. 799-805.

[5] V. N. Vapnik, Statistical Learning Theory, New York: John Wiley & Sons, 1998.

[6] R. A. Fisher, "The Statistical Utilization of Multiple Measurements," Annals of Eugenics, 8, 1938 pp. 376-386.

[7] S. S. Keerthi and E. G. Gilbert, "Convergence of a Generalized SMO Algorithm for SVM Classifier Design," Machine Learning, 46, 2002 pp. 351-360.



     
About Mathematica | Download Mathematica Player
© Wolfram Media, Inc. All rights reserved.