Suggested Readings

***** Nonlinear Programming, D.P. Bertsekas, 1996
***** Network Optimization: Continuous and Discrete Models, D.B. Bertsekas, 1998
***** Active Contours, A. Blake and M. Isard, Springer-Verlag, 1999
***** Learning in Graphical Models, Ed. M.I. Jordan, MIT, 1998
***** Advances in Kernel Methods, Eds. B. Schölkopf et al., MIT Press, 1999
***** Introduction to Reinforcement Learning, R. Sutton and A. Barto, MIT Press, 1998
**** Cryptography and Network Security: Principles and Practice, W. Stallings, 1998
**** Information Theory and Statistics, S. Kullback, 1997
**** Pulsed Neural Networks Ed. W. Maas, C.M. Bishop, 1999
**** Natural Language Processing (with ThoughtTreasure) E.T. Muller, 1999
**** Constrained Optimization and Lagrange Multiplier Methods D.P. Bertsekas, 1996
**** Graphical Models for Machine Learning and Digital Communication, B. Frey, MIT Press, 1998
**** Neural Networks, S. Haykin, IEEE Press, 1994, 1999
**** Digital Compression for Multimedia, Eds. J.D. Gibson, et al, Morgan Kaufmann, 1998
**** Elements of Information Theory, T.M. Cover, J.A. Thomas, 1991
****  Applied Probability Models with Optimization Applications, 1992
**** The Nature of Statistical Learning Theory, V. Vapnik, Springer Verlag, 1995
**** Introduction to Probability, J.E. Freund, 1993
**** Artificial Intelligence,Russell,1995
*** Mesterséges Intelligencia, Szerk. Futó Iván, 1999
*** Affine Analysis of Image Sequences, L.S. Shapiro, Cambridge Univ Press, 1995
*** Artificial Intelligence and Mobile Robots, Eds. D. Kortenkamp et al., AAAI Press, 1998
 
 

 
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