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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

    A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data

    This paper investigates the application of novelty detection techniques to the problem of drug profiling in forensic science. Numerous one-class classifiers are tried out, from the simple k-means to the more e...

    Frédéric Ratle, Mikhail Kanevski… in Intelligent Data Engineering and Automated… (2007)