### Recommended Textbooks

Vapnik, Vladimir Naumovich. *The Nature of Statistical Learning Theory*. New York, NY: Springer, 1998. ISBN: 9780387945590.

———. *Statistical Learning Theory*. New York, NY: Wiley, 1998. ISBN: 9780471030034. (Acid-free paper.)

Ledoux, Michel, and Michel Talagrand. *Probability in Banach Spaces: Isoperimetry and Processes*. New York, NY: Springer-Verlag, 1991. ISBN: 9780387520131.

van der Vaart, Aad W., and Jon A. Wellner. *Weak Convergence and Empirical Processes: With Applications to Statistics*. New York, NY: Springer, 2000. ISBN: 9780387946405.

Anthony, Martin, and Peter L. Bartlett. *Neural Network Learning: Theoretical Foundations*. New York, NY: Cambridge University Press, 1999. ISBN: 9780521573535.

Devroye, Luc, László Györfi, and Gábor Lugosi. *A Probabilistic Theory of Pattern Recognition*. New York, NY: Springer, 1997. ISBN: 9780387946184.

### Additional Readings

Talagrand, M. “Concentration of Measure and Isoperimetric Inequalities in Product Spaces.” *Publ Math IHES* 81 (1995): 73-203.