Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kentaro Inaba"'
Publikováno v:
Juntendo Medical Journal. 67:360-366
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573d8ac7dcd778199070c53b13c931a9
https://doi.org/10.14789/jmj.jmj21-oa03
https://doi.org/10.14789/jmj.jmj21-oa03
Publikováno v:
Neurocomputing. 275:1522-1530
Extreme Learning Machine (ELM) has recently increased popularity and has been successfully applied to a wide range of applications. Variants using regularization are now a common practice in the state of the art in ELM field. The most commonly used r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::024c46e5b67aff586a5ccbebcabad844
https://doi.org/10.1016/j.neucom.2017.09.090
https://doi.org/10.1016/j.neucom.2017.09.090
Autor:
Yuki Mizuno, Yasuyuki Hochi, Hideko Aida, Aya Okada, Yasuyuki Yamada, Takumi Iwaasa, Kentaro Inaba, Hidenori Hayashi, Motoki Mizuno, Emiko Togashi
Publikováno v:
The Japanese Journal of Ergonomics. 57:2F1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11b19745ccf7d7e560859231e308a86a
https://doi.org/10.5100/jje.57.2f1-6
https://doi.org/10.5100/jje.57.2f1-6
Autor:
Bruno Légora Souza da Silva, Patrick Marques Ciarelli, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 131
Deep learning techniques are commonly used to process large amounts of data, and good results are obtained in many applications. Those methods, however, can lead to long training times. An alternative to simultaneously tune all parameters of a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1cef934a0a3a1f8a3a2a7202ed9b34
https://pubmed.ncbi.nlm.nih.gov/32721826
https://pubmed.ncbi.nlm.nih.gov/32721826
The Effects of University Students’ Physical Activity Experience on Communication Skills and Anxiety
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030201449
AHFE (19)
AHFE (19)
In this study, we will focus on extracurricular activity experiences as a result of taking a physical activity. In recent years, the Japan Business Federation has stressed the importance of communication skills for Japanese university students. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28d2ff6476a131d39ebdc6ccfdc6336c
https://doi.org/10.1007/978-3-030-20145-6_36
https://doi.org/10.1007/978-3-030-20145-6_36
Autor:
Bruno Légora Souza da Silva, Evandro Ottoni Teatini Salles, Fernando Kentaro Inaba, Patrick Marques Ciarelli
Publikováno v:
Expert Systems with Applications. 140:112877
The popularity of algorithms based on Extreme Learning Machine (ELM), which can be used to train Single Layer Feedforward Neural Networks (SLFN), has increased in the past years. They have been successfully applied to a wide range of classification a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e5464f7c91f3d157d43255b1861b8c5
https://doi.org/10.1016/j.eswa.2019.112877
https://doi.org/10.1016/j.eswa.2019.112877
Publikováno v:
Proceedings XXII Congresso Brasileiro de Automática.
Access to large amounts of data is becoming more common, as well as the use of methods based on "deep" learning to obtain better results. However, using those techniques can lead to long training times. To deal with this problem, the Deep Stacked Net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b98eb3aad68dbf5ae743b8370725d5c8
https://doi.org/10.20906/cps/cba2018-0809
https://doi.org/10.20906/cps/cba2018-0809
Publikováno v:
SIBGRAPI
This paper presents a new technique to solve the single image super resolution reconstruction problem based on multiple extreme learning machine regressors, called here MELM. The MELM employs a feature space of low resolution images, divided in subsp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66d9039de225aaba4b8113483f9241b3
https://doi.org/10.1109/sibgrapi.2017.59
https://doi.org/10.1109/sibgrapi.2017.59
Publikováno v:
SIBGRAPI
We extend the visualization technique of high-dimensional patterns conceived by Sammon to the case when the patterns have been previously mapped to an implicitly defined Hilbert feature space in which distances can be measured by kernels. The princip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26df2699c7d2c2d0264dc4e4f96f3eca
https://doi.org/10.1109/sibgrapi.2011.22
https://doi.org/10.1109/sibgrapi.2011.22