F. Bara, E. Gentaz, and P. Colé, Early handwriting acquisition and its difficulties, 2005.

J. Cardoso, Dependence, correlation and Gaussianity in independent component analysis, Journal of Machine Learning Research, vol.4, issue.12, pp.1177-1203, 2003.

S. Cho and J. H. Kim, Bayesian Network Modeling of Strokes and Their Relationships for On-Line Handwriting Recognition, Proc. Sixth Int'l Conf. Document Analysis and Recognition, pp.86-90, 2001.

S. Glenat, L. Heutte, T. Paquet, and D. Mellier, Computer- Based Diagnosis of Dyspraxia: the MEDDRAW project, 12th Conference of the International Graphonomics Society, IGS 2005, 2005.

L. Hamstra-bletz, J. Debie, D. Brinker, and B. , Concise evaluation scale for children handwritting, L.S.Z, 1987.

R. Herbrich, T. Graepel, and C. Campbell, Bayes Point Machines, Journal of Machine Learning Research, vol.1, pp.245-279, 2001.

J. Hoeting, D. Madigan, A. Raftery, and C. Volinsky, Bayesian Model Averaging, Statistical Science, vol.14, pp.382-401, 1999.

W. Liu, M. M. Cham, and . Chang, Stroke Order and Stroke Number Free On-Line Chinese Character Recognition Using Attributed Relational Graph Matching, Proc. 13th Int'l Conf. Pattern Recognition, pp.259-263, 1996.

J. Lafferty, A. Mccallum, and F. Pereira, Conditional random fieldsProbabilistic models for segmenting and labeling sequence data, International Conf. on Machine Learning, pp.282-289, 2001.

S. Marukatat and T. Artières, Handling Spatial Information in On-Line Handwriting Recognition, Ninth International Workshop on Frontiers in Handwriting Recognition, 2004.
DOI : 10.1109/IWFHR.2004.48
URL : https://hal.archives-ouvertes.fr/hal-01497774

M. Ostendorf, V. V. Digalakis, and O. A. Kimball, From HMM's to segment models: a unified view of stochastic modeling for speech recognition, IEEE Transactions on Speech and Audio Processing, vol.4, issue.5, pp.360-378, 1996.
DOI : 10.1109/89.536930

J. Pearl, Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference, 1988.

A. Poritz, Linear predictive hidden Markov models and the speech signal, ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1982.
DOI : 10.1109/ICASSP.1982.1171633

S. Rosenblum, P. L. Weiss, and S. Parush, Product and process evaluation of handwriting difficulties, Educational Psychology Review, vol.15, issue.1, pp.41-81, 2003.
DOI : 10.1023/A:1021371425220

M. Tanner, Tools for statistical inference

Y. Weiss and W. Freeman, Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology, Neural Computation, vol.13, issue.10
DOI : 10.1109/18.910585

Y. Weiss and W. Freeman, On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs, IEEE Transactions on Information Theory, vol.47, issue.2, 2001.
DOI : 10.1109/18.910585

J. Zheng, X. Ding, Y. Wu, and Z. Lu, Spatio-Temporal Unified Model for On-Line Handwritten Chinese Character Recognition, Proc. Fifth ICDAR, pp.649-652, 1999.