R. Carrasco, J. Oncina, and J. Calera-rubio, Stochastic inference of regular tree languages, Machine Learning, vol.44, issue.12, pp.185-197, 2001.
DOI : 10.1007/BFb0054075

J. Rico-juan, J. Calera, and R. Carrasco, Probabilistic k-Testable Tree Languages, Proceedings of ICGI 2000, pp.221-228, 2000.
DOI : 10.1007/978-3-540-45257-7_18

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.7429

N. Abe and H. Mamitsuka, Predicting protein secondary structure using stochastic tree grammars, Machine Learning, vol.29, issue.2/3, pp.275-301, 1997.
DOI : 10.1023/A:1007477814995

F. Denis and Y. Esposito, Rational stochastic languages, 2006.
DOI : 10.1007/11776420_22

URL : https://hal.archives-ouvertes.fr/hal-00019728

F. Denis, Y. Esposito, and A. Habrard, Learning Rational Stochastic Languages, Proceedings of COLT'06, 2006.
DOI : 10.1007/11776420_22

URL : https://hal.archives-ouvertes.fr/hal-00019161

A. Habrard, F. Denis, and Y. Esposito, Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference, Proceedings of the 8th International Colloquium on Grammatical Inference (ICGI'06, pp.112-124, 2006.
DOI : 10.1007/11872436_10

URL : https://hal.archives-ouvertes.fr/hal-00085176

J. Berstel and C. Reutenauer, Recognizable formal power series on trees, Theoretical Computer Science, vol.18, issue.2, pp.115-148, 1982.
DOI : 10.1016/0304-3975(82)90019-6

URL : https://hal.archives-ouvertes.fr/hal-00619497

´. Esik, Z. Kuich, and W. , Formal tree series, Journal of Automata, Languages and Combinatorics, vol.8, issue.2, pp.219-285, 2003.

A. Habrard and J. Oncina, Learning Multiplicity Tree Automata, Proceedings of the 8th International Colloquium on Grammatical Inference (ICGI'06, 2006.
DOI : 10.1007/11872436_22

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.7378

F. Drewes and H. Vogler, Learning deterministically recognizable tree serie, Journal of Automata, Languages and Combinatorics, 2007.

C. S. Wetherell, Probabilistic Languages: A Review and Some Open Questions, ACM Computing Surveys, vol.12, issue.4, pp.361-379, 1980.
DOI : 10.1145/356827.356829

V. Vapnik, Statistical Learning Theory, 1998.

G. Lugosi, Pattern Classification and Learning Theory, Principles of Nonparametric Learning, 2002.
DOI : 10.1007/978-3-7091-2568-7_1

G. Hardy and M. Wright, An introduction to the theory of numbers, Bulletin of the American Mathematical Society, vol.35, issue.6, 1979.
DOI : 10.1090/S0002-9904-1929-04793-1

F. Denis and Y. Esposito, Learning Classes of Probabilistic Automata, LNAI, vol.3120, pp.124-139, 2004.
DOI : 10.1007/978-3-540-27819-1_9