Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ananda L. Freire"'
Publikováno v:
Neural Processing Letters. 48:135-151
Extreme learning machines (ELMs) are an interesting alternative to multilayer perceptrons because ELMs, in practice, require the optimization only of the number of hidden neurons by grid-search with cross-validation. Nevertheless, a large number of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7954d6f6888a3a971ca3c5b6d416aec7
https://doi.org/10.1007/s11063-017-9700-9
https://doi.org/10.1007/s11063-017-9700-9
Autor:
Amauri H. Souza Júnior, Ananda L. Freire, João P. P. Gomes, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto
Publikováno v:
BRACIS
The Minimal Learning Machine (MLM) is a supervised method in which learning consists of fitting a multiresponse linear regression model between distances computed from the input and output spaces. A critical issue related to the training process in M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::575ad83efccaebd2cad27cfb33034a18
https://doi.org/10.1109/bracis.2018.00043
https://doi.org/10.1109/bracis.2018.00043
Publikováno v:
Proceeding XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e8d46e33f81954a8ed6131d913e1a79
https://doi.org/10.21528/cbic2017-98
https://doi.org/10.21528/cbic2017-98
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319534794
ISDA
ISDA
In recent years, the interest in the study of outlier robustness properties in Extreme Learning Machines (ELM) has grown. Most of the published works uses a more robust estimation method than the commonly adopted ordinary least squares. Nevertheless,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::930d365a7fd1b1e56acd6f41e4b77027
https://doi.org/10.1007/978-3-319-53480-0_9
https://doi.org/10.1007/978-3-319-53480-0_9
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319591520
IWANN (1)
IWANN (1)
Evolutionary machine learning is an emerging research area that covers any combination of evolutionary strategies and machine learning. In support vector machines, metaheuristics have been widely employed to tune parameters, select features or obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ecb5939d75be4167de7d7e47c63b7f
https://doi.org/10.1007/978-3-319-59153-7_8
https://doi.org/10.1007/978-3-319-59153-7_8
Publikováno v:
Anais do 9. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a51cd940133c11aa3e65de2872cc7410
https://doi.org/10.21528/cbrn2009-048
https://doi.org/10.21528/cbrn2009-048
Publikováno v:
Neurocomputing. 112:179-188
Pointing at something refers to orienting the hand, the arm, the head or the body in the direction of an object or an event. This skill constitutes a basic communicative ability for cognitive agents like, e.g. humanoid robots. The goal of this study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9503f61e9d025843e9510d29ced1123e
https://doi.org/10.1016/j.neucom.2012.12.040
https://doi.org/10.1016/j.neucom.2012.12.040