Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jonathas O. Ferreira"'
Autor:
Marcele O. K. Mendonça, Jonathas O. Ferreira, Christos G. Tsinos, Paulo S R Diniz, Tadeu N. Ferreira
Publikováno v:
Algorithms, Vol 12, Iss 1, p 4 (2018)
The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation,
Externí odkaz:
https://doaj.org/article/689b9444a14a47808c9ce86a1d9051cf
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 522-534 (2021)
In the era of big data, profitable opportunities are becoming available for many applications. As the amount of data keeps increasing, machine learning becomes an attractive tool to analyze the information acquired. However, harnessing meaningful dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdd5f0f8b7d4afd710e1aed7c24559e0
https://ieeexplore.ieee.org/document/9519166/
https://ieeexplore.ieee.org/document/9519166/
Publikováno v:
ICASSP
In recent years, the interest in kernel methods has increased exponentially, mainly due to applications including phenomena that cannot be well modeled by linear systems. Furthermore, the demand for high-speed communications and improvement in comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bcffdb4a0f6e8f585e1f0932dab1b4
https://doi.org/10.1109/icassp40776.2020.9054667
https://doi.org/10.1109/icassp40776.2020.9054667
Autor:
Wesley L. Passos, Jose F. L. de Oliveira, Anthony Y.Y. Ji, Lucas Pinheiro Cinelli, Rafael Padilla, Eduardo A. B. da Silva, Patrick F. Braz, Domenica P. Dalvi, Felipe Lima De Oliveira, Breno L Galves, Clemente Gonçalves, Sergio L. Netto, Gabriela Lewenfus, Vinicius Pinho, Marcello L. R. de Campos, Jonathas O. Ferreira
Publikováno v:
Journal of Petroleum Science and Engineering. 205:108939
This work addresses the problem of extracting events from human-written daily drilling reports (DDRs) in an automated way. Two distinct approaches based on an expert system and artificial intelligence techniques are proposed: rule-based language proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f1d355df1bbe168aee81fad01ef60e
https://doi.org/10.1016/j.petrol.2021.108939
https://doi.org/10.1016/j.petrol.2021.108939
Autor:
Christos G. Tsinos, Marcele O. K. Mendonca, Jonathas O. Ferreira, Tadeu N. Ferreira, Paulo S. R. Diniz
Publikováno v:
Algorithms
Volume 12
Issue 1
Algorithms, Vol 12, Iss 1, p 4 (2018)
Volume 12
Issue 1
Algorithms, Vol 12, Iss 1, p 4 (2018)
The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does not bring enough innovation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c1df3dca8e66dafc770d5f006e8359a
Publikováno v:
EUSIPCO
The conjugate gradient (CG) adaptive filtering algorithm is an alternative to the more widely used Recursive Least Squares (RLS) and Least Mean Square (LMS) algorithms, where the former requires more computations, and the latter leads to slower conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3c6e3e9255bcf6ca623feccfceec63
https://doi.org/10.23919/eusipco.2018.8553023
https://doi.org/10.23919/eusipco.2018.8553023