Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaime RINCÓN"'
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 5, Iss 4, Pp 85-92 (2016)
This article proposes an application of a social emotional model, which allows to extract, analyse, represent and manage the social emotion of a group of entities. Specifically, the application is based on how music can influence in a positive or neg
Externí odkaz:
https://doaj.org/article/89c572af0a8b4d138c0b62062532a7a4
Autor:
Jaime Rincón
Publikováno v:
Régimen del mercado de valores. Tomo III – Intermediación en el mercado de valores
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df9feec0c751088845c202638634403a
https://doi.org/10.15425/2017.118
https://doi.org/10.15425/2017.118
Publikováno v:
Information, Vol 15, Iss 7, p 379 (2024)
This paper presents a novel approach to analyzing trends in federated learning (FL) using automatic semantic keyword clustering. The authors collected a dataset of FL research papers from the Scopus database and extracted keywords to form a collectio
Externí odkaz:
https://doaj.org/article/8019c1ed6ef44aef97b8ae405237411e
Publikováno v:
Artes de México, 1991 Jul 01(12), 24-37.
Externí odkaz:
https://www.jstor.org/stable/24326891
Publikováno v:
Sensors, Vol 23, Iss 5, p 2382 (2023)
Over the last few years, several studies have appeared that employ Artificial Intelligence (AI) techniques to improve sustainable development in the agricultural sector. Specifically, these intelligent techniques provide mechanisms and procedures to
Externí odkaz:
https://doaj.org/article/4856e5e61c654f28bf902c0791d3d578
Publikováno v:
Ecomatemático, Vol 10, Iss 1, Pp 71-75 (2019)
The present research aimed to identify the learning styles of second semester students of Mathematics at the Universidad Francisco de Paula Santander. The study is quantitative with a quasi-experimental transectional design of a descriptive type with
Externí odkaz:
https://doaj.org/article/a0038ea8d2d840f8929ce19f590fd4d3
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3701 (2022)
In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a model and shares only model paramete
Externí odkaz:
https://doaj.org/article/6b5c3ecc3f604ea3942fc48f8d221d92