Nicolas Stroppa

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We present an analogical learning model which exploits the notion of formal analogi-cal proportions; this approach requires the ability to define these proportions and to implement them efficiently. We propose an algebraic definition of this notion, which applies to a large range of structured objects: words, attribute-value structures, labeled trees. We(More)
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