Literature

1. C.J.C. Burges: A Tutorial on Support Vector Machines for Pattern Recognition. 1998. [PDF].
2. C. Hsu, C. Lin: A Comparison of Methods for Multi-class Support Vector Machines. 2001. [PS]
3. J.A.Bilmes: A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Model. 1998. [PS]
4. T.P.Minka: Expectation-Maximization as lower bound maximization. 1998. [PS]
5. R.E.Schapire: A Brief Introduction to Boosting. 1999. [PS]
6. V.Franc, V.Hlavac: Statistical Pattern Recognition Toolbox for Matlab. 2004. [PDF]