Apprentissage actif

Définition

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Français

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Anglais

Active Learning Active learning is a form of semi-supervised machine learning where the algorithm can choose which data it wants to learn from. With this approach, the program can actively query an authority source, either the programmer or a labeled dataset, to learn the correct prediction for a given problem.

The goal of this iterative learning approach is to speed along the learning process, especially if you don’t have a large labeled dataset to practice traditional supervised learning methods.

One of the most popular applications for active learning is in the labelling intensive Natural Language Processing field. This method can produce similar results as supervised learning, with a fraction of the human involvement.

[XXXXXXX Source : DeepAI.org ]