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3. Learning from data
RDF modules are developed using machine learning techniques. We distinguish here between two learning frameworks corresponding to two types of system: supervised learning and unsupervised learning (note that other frameworks exist, notably the semi-supervised framework).
We briefly present these two frameworks, then detail the elements required to learn a classification module (supervised framework) and a partitioning module (unsupervised framework).
3.1 Supervised and unsupervised settings
Supervised learning aims to design a module capable of learning an input-output association from a collection of training examples in the form of pairs (input, desired output). In the presence of an input (a particular stimulus), supervisory information...
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Learning from data
Distance- and neighborhood-based methods
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