E. Schneidman, M. J. Berry, R. Segev, and W. Bialek, Weak pairwise correlations imply strongly correlated network states in a neural population, Nature, vol.37, issue.7087, pp.1007-1012, 2006.
DOI : 10.1109/18.61115

T. R. Lezon, J. R. Banavar, M. Cieplak, A. Maritan, and N. Fedoroff, Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns, Proceedings of the National Academy of Sciences, vol.442, issue.7106, pp.19033-19038, 2006.
DOI : 10.1038/nature05020

W. Bialek and R. Ranganathan, Rediscovering the power of pairwise interactions. arXiv preprint arXiv, pp.712-4397, 2007.

M. Weigt, R. A. White, H. Szurmant, J. A. Hoch, and T. Hwa, Identification of direct residue contacts in protein-protein interaction by message passing, Proceedings of the National Academy of Sciences, vol.36, issue.suppl_1, pp.67-72, 2009.
DOI : 10.1093/nar/gkm960

T. Mora, A. M. Walczak, W. Bialek, and C. G. Callan, Maximum entropy models for antibody diversity, Proceedings of the National Academy of Sciences, vol.62, issue.23, pp.5405-5410, 2010.
DOI : 10.1103/RevModPhys.62.251
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851784

W. Bialek, Statistical mechanics for natural flocks of birds, Proceedings of the National Academy of Sciences, vol.102, issue.12, pp.4786-4791, 2012.
DOI : 10.1103/PhysRev.102.1217

G. J. Stephens and W. Bialek, Statistical mechanics of letters in words, Physical Review E, vol.22, issue.6, p.66119, 2010.
DOI : 10.1016/j.tics.2005.05.004

C. Roads, The computer music tutorial, 1996.

E. T. Jaynes, Information Theory and Statistical Mechanics, Physical Review, vol.101, issue.4, pp.620-630, 1957.
DOI : 10.1103/PhysRev.101.1227

R. J. Baxter, Exactly Solved Models in Statistical Mechanics, 1982.
DOI : 10.1142/9789814415255_0002

N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1700747

J. Weimar and . Database, Accessed in, 2015.

G. Assayag, S. Dubnov, and O. Delerue, Guessing the composer's mind: Applying universal prediction to musical style, ICMC, 1999.

R. Begleiter, R. El-yaniv, and G. Yona, On prediction using variable order markov models, J. Artif. Int. Res, vol.22, pp.385-421, 2004.

F. Pachet, The Continuator: Musical Interaction With Style, Journal of New Music Research, vol.32, issue.3, pp.333-341, 2003.
DOI : 10.1076/jnmr.32.3.333.16861
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.997

G. J. Chaitin, Algorithmic Information Theory, IBM Journal of Research and Development, vol.21, issue.4, pp.350-359, 1977.
DOI : 10.1147/rd.214.0350

D. Cerra and M. Datcu, Algorithmic Relative Complexity, Entropy, vol.19, issue.12, pp.902-914, 2011.
DOI : 10.1109/LGRS.2009.2020349
URL : http://doi.org/10.3390/e13040902

D. Benedetto, E. Caglioti, and V. Loreto, Language Trees and Zipping, Physical Review Letters, vol.5, issue.4, p.48702, 2002.
DOI : 10.1145/321356.321363
URL : http://arxiv.org/pdf/cond-mat/0108530

A. Baronchelli, D. Benedetto, E. Caglioti, and V. Loreto, Artificial sequences and complexity measures, Journal of Statistical Mechanics: Theory and Experiment, vol.2005, issue.04, 2005.
DOI : 10.1088/1742-5468/2005/04/P04002
URL : http://arxiv.org/abs/cond-mat/0403233

A. Lempel and J. Ziv, A universal algorithm for sequential data compression, IEEE Trans. Inf. Theory, vol.23, pp.337-343, 1977.

P. Ravikumar, M. J. Wainwright, and J. D. Lafferty, High-dimensional Ising model selection using ??? 1 -regularized logistic regression, The Annals of Statistics, vol.38, issue.3, pp.1287-1319, 2010.
DOI : 10.1214/09-AOS691
URL : http://projecteuclid.org/download/pdfview_1/euclid.aos/1268056617

M. Ekeberg, C. Lövkvist, Y. Lan, M. Weigt, and E. Aurell, Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models, Physical Review E, vol.13, issue.1, p.12707, 2013.
DOI : 10.1162/089976602760128018
URL : https://hal.archives-ouvertes.fr/hal-01528418