Learning from data
Pattern form recognition
Article REF: AF1510 V1
Learning from data
Pattern form recognition

Author : Thierry ARTIERES

Publication date: October 10, 2011 | Lire en français

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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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