Referencias

1. T. Mitchell (1997) Machine Learning, McGraw-Hill.
2. I.H. Witten, E. Frank (2005) Data Mining: practical machine learning tools and techniques 2nd. Edition. Morgan Kaufmann
3. J. Han, M. Kamber (2001) Data Mining: concepts and techniques, Morgan Kaufmann.
4. D. Hand, H. Mannila, P. Smyth (2001). Principales of Data Mining, MIT Press
5. R. Michalski, I. Bratko, M. Kubat (1998) Machine Learning and data mining: methods and applications, John Wiley and Sons.
6. B. Schölfopf, A. Smola (2002). Learning with Kernels: Suport Vector Machines, Regularizartion, Optimization, and Beyond, MIT Press.
7. R. Sutton, A. Barto (1998). Reinforcement Learning: An Introduction. MIT Press.
8. N. Lavrac, S. Dzeroski (1994). Inductive Logic Programming: Techniques and Applications. Ellis Horwood.
9. T. Hastie, R. Tibshirani, J. Friedman (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer-Verlag.
10. C. Bishop (2006). Pattern Recognition and Machine Learning. Springer.