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    Chapter

    Deep Learning via Semi-supervised Embedding

    We show how nonlinear semi-supervised embedding algorithms popular for use with “shallow” learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regular...

    Jason Weston, Frédéric Ratle, Hossein Mobahi… in Neural Networks: Tricks of the Trade (2012)

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    Chapter and Conference Paper

    Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm

    A multi-objective evolutionary algorithm is applied to optimize the design of a helical spring made out of a composite material. The criteria considered are the minimization of the mass along with the maximiza...

    Frédéric Ratle, Benoît Lecarpentier… in Parallel Problem Solving from Nature - PPS… (2004)