Recommended Textbooks

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

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

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

Amazon logo 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.

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

Amazon logo 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.

Suggested Related Resources

Computational Learning Theory Web site

Learning Theory Resources, Lecture Notes, Tutorials, etc.