V. N. Vapnik, The Nature of Statistical Learning Theory, 1995.

V. N. Vapnik, Statistical Learning Theory, 1998.

J. Mercer, Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.209, issue.441-458, pp.415-446, 1909.
DOI : 10.1098/rsta.1909.0016

N. Dunford and J. T. Schwartz, Linear operators. Part II. Spectral theory, 1963.
DOI : 10.1007/978-1-4612-2070-1_13

J. C. Ferreira and V. A. Menegatto, Eigenvalues of Integral Operators Defined by Smooth Positive Definite Kernels, Integral Equations ans Operator Theory 64, pp.61-81, 2009.

C. Cortes, P. Haffner, and M. Mohri, Rational Kernels : Theory and Algorithms, Journal of Machine Learning Research, vol.1, pp.1-50, 2004.

N. Aronszajn, Theory of reprducing kernels, Transactions of the, pp.337-404, 1950.

D. Haussler, Convolution Kernels on Discrete Structures, 1999.

K. Shin and T. Kuboyama, A Generalization of Haussler's Convolution Kernel ? Mapping Kernel, Proceedings of the 25th International Conference on Machine Learning, 2008.

K. Shin and T. Kuboyama, A Generalization of Haussler's Convolution Kernel ??? Mapping Kernel and Its Application to Tree Kernels, Journal of Computer Science and Technology, vol.2, issue.6, pp.1040-1054, 2010.
DOI : 10.1007/s11390-010-9386-1

H. Kashima and A. Inokuchi, Kernels for Graph Classification, IEEE International Conference on Data Mining (ICDM 2002) Workshop on Active Mining, 2002.

H. Froehlich, J. K. Wegner, F. Sieker, and A. Zell, optimum assignment kernels for Attributed Molecular Graphs, Proceedings of the 22nd International Conference on Machine Learning, pp.225-232, 2005.

L. Jacob and J. Vert, Protein-ligand interaction prediction: an improved chemogenomics approach, Bioinformatics, vol.24, issue.19, pp.2149-2156, 2008.
DOI : 10.1093/bioinformatics/btn409
URL : https://hal.archives-ouvertes.fr/hal-00433572

A. H. Lipkus, A proof of the triangle inequality for the Tanimoto distance, Journal of Mathematical Chemistry, vol.26, issue.1/3, pp.263-265, 1999.
DOI : 10.1023/A:1019154432472

T. Gärtner, A survey of kernels for structured data, ACM SIGKDD Explorations Newsletter, vol.5, issue.1, pp.49-58, 2003.
DOI : 10.1145/959242.959248

J. Mohr, B. Jain, A. Sutter, A. T. Laak, T. Steger-hartmann et al., A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test, Journal of Chemical Information and Modeling, vol.50, issue.10, pp.1821-1838, 2010.
DOI : 10.1021/ci900367j

J. Vert, The Optimal Assignmant Kernel is not positive definite, 2008.