Multiple kernel learning (MKL) aims at simultaneously learning a kernel and the associated predictor in supervised learning settings. For the support vector machine, an efficient and general multiple kernel learning algorithm, based on semi-infinite linear programming, has been recently proposed. This approach has opened new perspectives since it makes MKL tractable for large-scale problems, by...

We say that a space X admits a homology exponent if there exists an exponent for the torsion subgroup of H * (X; Z). Our main result states if an H-space of finite type admits a homology exponent, then either it is, up to 2-completion, a product of spaces of the form BZ/2 r , S 1 , CP ∞ , and K(Z, 3), or it has infinitely many non-trivial homotopy groups and k-invariants. We then show with the ...

Previous works have been devoted to the study of two-dimensional noninvertible maps, obtained using a coupling between one-dimensional logistic maps. This paper is devoted to the study of a specific one, in order to complete previous results [5] [7], regarding the evolution of basins and attractors, when considering the tool of critical manifolds.

Sylvie Trudel and Alain Abran (Pyxis Technologies, Kanada): Functional size measurement quality challenges for inexperienced measurers

1.1 The aim 1 Harmonicity and spectral envelope Alain de Cheveigné (CNRS/ATR-HIP)

Stage realized at the Atelier de Bioinformatique of Institute Curie under the supervision of prof. Alain Viari.