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Devoted to multi-task learning and structured output learning, operator-valued kernels provide a flexible tool to build vector-valued functions in the context of Reproducing Kernel Hilbert Spaces. To scale up these methods, we extend the celebrated Random Fourier Feature methodology to get an approximation of operator-valued kernels. We propose a general(More)
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract The complex mechanical behaviour of composite materials, due to internal heterogeneity and multi-layered composition impose deeper studies. This paper presents an experimental investigation technique to(More)
  • R Brault
  • 1984
A summary of trends in perinatal mortality in Quebec province, Canada, from 1967 to 1980 is presented. Perinatal mortality declined from 22.12 per 1,000 to 7.8 over this period. The summary is based on the 1983 report of the Comite d'Etude de la Mortalite Perinatale of the Professional Corporation of Physicians of Quebec. (summary in ENG)
A SEM study carried on intra-uterine devices (Dalkon Shield) is reported. The poor manufacturing of the devices is stressed, which could increase their efficiency but also the risks of penetration, or worse, perforation. The solution for the future could be copper bearing intra-uterine devices coated by hydrogels. This should maintain efficiency and improve(More)
Random Forests (RFs) are strong machine learning tools for classification and regression. However, they remain supervised algorithms, and no extension of RFs to the one-class setting has been proposed, except for techniques based on second-class sampling. This work fills this gap by proposing a natural methodology to extend standard splitting criteria to(More)