11 pages, 5 articles pour «Navigation»

Contents

Vous pouvez consulter la page d'explications relative au nuage de mots clés et aux techniques utilisées.

Pages Articles

11 pages

  • [1] Historique
    19/03/2002 L'historique du site, les différents styles, la structure de l'infobrol...
    Mot clé = navigation | Niveau = 1

  • [2] Démo htaccess
    12/03/2006 Pages de démonstration de quelques possibilités offertes par les fichiers .htaccess, .htpasswd, et .htgroups (personnalisation de la navigation dans les rép
    Mot clé = navigation | Niveau = 2

  • [3] htaccess:apparence
    12/03/2006 fichiers .htaccess : personnalisation de la navigation dans les répertoires du site, modifier les icônes des fichiers et répertoires, masquer des fichiers,
    Mot clé = navigation | Niveau = 2

  • [4] Navigation
    17/06/2001 Ensemble des pages de navigation (sommaires de chapitres, plan du site, etc.), ainsi que ce qui concerne le site de l'infobrol lui-même, pour le séparer du
    Mot clé = navigation | Niveau = 2

  • [5] Préférences
    22/09/2004 Préférences utilisateur (mailing liste, navigation, etc.)
    Mot clé = navigation | Niveau = 2

  • [6] .htaccess
    29/07/2004 Comment protéger l’accès aux fichiers d’un répertoire de notre site web? Explications sur les fichiers .htaccess, .htpasswd, .htgroups au niveau de la sécur
    Mot clé = navigation | Niveau = 9

  • [7] Les dernières
    19/03/2002 Recherche, et descriptif des x dernières pages du site...
    Mot clé = navigation | Niveau = 9

  • [8] L’objet history
    19/03/2002
    Mot clé = navigation | Niveau = 9

  • [9] Nouvelles
    27/12/2002 Le mot de Steph. Affichage de l'actualité concernant le site.
    Mot clé = navigation | Niveau = 9

  • [10] Passwords
    29/07/2004 Générateur de mots de passe htpasswd pour htaccess.
    Mot clé = navigation | Niveau = 9

  • [11] Devoxx 2014 - Probably, Definitely, Maybe
    13/07/2019 Probably, Definitely, Maybe We live in an uncertain world and we deal with this by considering possibilities and probabilities; from what movies you might be interested in to what diseases you might have given your symptoms. Without realising it people interact with systems that utilise probability on a daily basis. But what is probability, how to we measure and work with it? Given the wealth of big data collected how can we use that to predict the future? What if there is noise in the data? What if the data changes over time? To answer these questions we start with the fundamentals of probability theory before looking Bayesian systems (frequently a key part of recommendation and expert systems), Markov chains (useful in predicting human behaviour), and dynamic Bayesian networks (such as Kalman filters and hidden Markov chains which are often used in real-time systems like auto-pilot navigation). Along the way we'll try to demonstrate the mathematics using simple Java/Groovy examples. No knowledge of advanced mathematics is required! Source: DEVOXX
    Mot clé = Devoxx 2014 - Probably, Definitely, Maybe | Niveau = 11

5 articles

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Document created the 13/03/2010, last modified the 26/10/2018
Source of the printed document:https://www.gaudry.be/en/tagcloud-rf-Navigation.html

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