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3 -Marginal distribution p(d i ) with a = b = β for diierent values of the parameter β. The distribution becomes more concentrated around zero with heavier tails as β decreases. The case β → ∞ corresponds to an exponential distribution with unit rate.

3 -Marginal distribution p(d i ) with a = b = β for diierent values of the parameter β. The distribution becomes more concentrated around zero with heavier tails as β decreases. The case β → ∞ corresponds to an exponential distribution with unit rate.

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Approches probabilistes et bayésiennes non paramétriques pour les systemes de recommandation et les réseaux
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  • Nov 2016
Nous proposons deux nouvelles approches pour les systèmes de recommandation etles réseaux. Dans la première partie, nous donnons d’abord un aperçu sur les systèmes de recommandationavant de nous concentrer sur les approches de rang faible pour la complétionde matrice. En nous appuyant sur une approche probabiliste, nous proposons de nouvellesfoncti...
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