Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rafael A. Trujillo Rasúa"'
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 1, Iss 3 (2011)
Se proponen dos versiones de métodos de Búsqueda Directa, y para cada uno de ellos se muestran variantes de implementación en entornos paralelos. Los métodos fueron probados con el Problema Inverso Aditivo de Valores Singulares. Se realiza una co
Externí odkaz:
https://doaj.org/article/76103d17dc6945ecb6c60717973b9368
Publikováno v:
Pattern Recognition Letters. 125:373-380
Artificial Neural Networks research field is among the areas of major activity in Artificial Intelligence. Training a neural network is an NP-hard optimization problem that presents several theoretical and computational limitations. In optimization,
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Hyper-Parameter configuration is a relatively novel field of paramount importance in machine learning and optimization. Hyper-parameters refers to the parameters that control the behavior of algorithms and are not tuned directly by such algorithms. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803f8569603b83905c39386f23db2c83
https://doi.org/10.1007/978-3-030-33904-3_43
https://doi.org/10.1007/978-3-030-33904-3_43
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Video transmission is of critical interest in several practical applications. Recent studies show that video content is highly cacheable in content delivery networks. Proactive and hybrid reactive-proactive caching policies, with the use of media pop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c976ba77aa35607fd5ef54f7260374
https://doi.org/10.1007/978-3-030-33904-3_73
https://doi.org/10.1007/978-3-030-33904-3_73
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030011314
IWAIPR
IWAIPR
Artificial Neural Networks research field is among the areas of major activity in Artificial Intelligence. Conventional training approaches applied to neural networks present several theoretical and computational limitations. In this paper we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116d1c053a50d35b84aebac05ccdc806
https://doi.org/10.1007/978-3-030-01132-1_7
https://doi.org/10.1007/978-3-030-01132-1_7
Publikováno v:
ResearcherID
Computational Science – ICCS 2006 ISBN: 9783540343790
International Conference on Computational Science (1)
Computational Science – ICCS 2006 ISBN: 9783540343790
International Conference on Computational Science (1)
This paper is focused in the parallelization of Direct Search Optimization methods, which are part of the family of derivative-free methods. These methods are known to be quite slow, but are easily parallelizable, and have the advantage of achieving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::447570e450eca47bdb99884094be710f
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000238389200042&KeyUID=WOS:000238389200042
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000238389200042&KeyUID=WOS:000238389200042