SALZA : mesure d’information universelle entre chaînes pour la classificationet l’inférence de causalité

SALZA : mesure d’information universelle entre chaînes pour la classificationet l’inférence de causalité

Les données sous forme de chaîne de symboles sont très variées (ADN, texte, EEG quantifié,…) et ne sont pas toujours modélisables. Une description universelle des chaînes de symboles indépendante des probabilités est donc nécessaire. La complexité de Kolmogorov a été introduite en 1960 pour répondre...

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Bibliographic Details
Main Author:	Revolle, Marion
Other Authors:	Grenoble Alpes
Language:	fr
Published:	2018
Subjects:	Complexité de Lempel Ziv Théorie algorithmique de l’information Mesure d’information universelle Classification non supervisée Causalité Lempel-Ziv complexity Algorithmic information theory Universal information measure Unsupervised classification Causality 004 620
Online Access:	http://www.theses.fr/2018GREAT079/document

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