Jean-Christophe Souplet

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This paper advocates a new ML-based programming framework, called Programming by Feedback (PF), which involves a sequence of interactions between the active computer and the user. The latter only provides preference judgments on pairs of solutions supplied by the active computer. The active computer involves two components: the learning component estimates(More)
In multiple sclerosis (MS) research, burden of disease and treatments efficacy are mainly evaluated with lesion load and atrophy. The former being poorly correlated with patient's handicap, it is of interest to evaluate accurately the latter. A lot of methods to measure the brain atrophy are available in the literature. The brain parenchymal fraction (BPF)(More)
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