Volume 10, Issue 1
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Staff and Contributors
A Flexible Implementation for Support Vector Machines
 G. Casella and R. L. Berger, Statistical Inference, 2nd ed., Belmont, CA: Duxbury Press, 2002.
 S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed., Englewood Cliffs, NJ: Prentice Hall, 1999.
 S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Englewood Cliffs, NJ: Prentice Hall, 1995.
 N. Friedman, "Inferring Cellular Networks Using Probabilistic Graphical Models," Science, 303, 2004 pp. 799-805.
 V. N. Vapnik, Statistical Learning Theory, New York: John Wiley & Sons, 1998.
 R. A. Fisher, "The Statistical Utilization of Multiple Measurements," Annals of Eugenics, 8, 1938 pp. 376-386.
 S. S. Keerthi and E. G. Gilbert, "Convergence of a Generalized SMO Algorithm for SVM Classifier Design," Machine Learning, 46, 2002 pp. 351-360.
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