1. Lecture Notes in Computer Science;T.G. Dietterich,2002
2. Rabiner, L.R.: A tutorial on Hidden Markov Models and selected applications in speech recognition. Proc. of the IEEE 77(2), 257–286 (1989)
3. Lafferty, J., McCallum, A., Pereira, F.: Conditional Random Fields: probabilistic models for segmenting and labeling sequence data. In: Proc. of the 18th Int. Conf. on Machine Learning (ICML 2001), pp. 282–289. Morgan Kaufmann, San Francisco (2001)
4. Vapnik, V.N.: Statistical learning theory. Wiley, New York (1998)
5. Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y.: Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research 6, 1453–1484 (2005)