Network Feature Selection based on Machine Learning for Resource Management

In order to go from a single brute force GMM per accent without phonetic knowledge to a frame based system or to our classifier using a speaker model, we rely on a phonetic

Abstract—With the emergence of machine learning (ML) techniques in database research, ML has already proved a tremendous potential to dramatically impact the foundations,

We report the performance of (i) a FastText model trained on the training subsed of the data set of 1,000 head- lines, (ii) an EC classification pipeline based on Word2Vec and

Over the last 10–15 years Web 2.0 services and social media have shown huge growth, for example, in January 2017 the number of active accounts of Facebook was

Roudet-Tavert G, Michon T, Walter J, Delaunay T, Redondo E, Le Gall O (2007) Central domain of a potyvirus VPg is involved in the interaction with the host translation

chaque fois que l'on ignore le monde de référence ou que l’on ne veut pas décider a priori du système de cohérence interne des informations recherchées » (Blanchet

They came to the conclusion that process based regional scale hydrological models cannot be applied in the target basin due to data constraints while the application of the

This systematic review and meta-analysis aimed to collate the knowledge on which African wildlife species have been infected with brucellosis, by which Brucella species, which