Functional gradient descent for n-tuple regression-Reference-Cited by-同舟云学术

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Functional gradient descent for n-tuple regression

Published:2022-08 Issue: Volume:500 Page:1016-1028
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Katopodis Rafael F.,Lima Priscila M.V.,França Felipe M.G.

Funder

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

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2. J.Y. Do, V. da Cruz Ferreira, H. Bobarshad, M. Torabzadehkashi, S. Rezaei, A. Heydarigorji, D.F.P. de Souza, B.F. Goldstein, L. Santiago, M.S. Kim, P.M.V. Lima, F.M.G. França, V.C. Alves, Cost-effective, energy-efficient, and scalable storage computing for large-scale AI applications, ACM Trans. Storage 16 (4) (2020) 21:1–21:37. doi:10.1145/3415580.

3. M. Simões, R. Monteiro, J. Andrade, S. Mouga, F. França, G. Oliveira, P. Carvalho, M. Castelo-Branco, A novel biomarker of compensatory recruitment of face emotional imagery networks in autism spectrum disorder, Frontiers in Neuroscience 12. doi:10.3389/fnins.2018.00791.

4. D. de O. Cardoso, J. Gama, F.M.G. França, Weightless neural networks for open set recognition, Mach. Learn. 106 (9–10) (2017) 1547–1567. doi:10.1007/s10994-017-5646-4.

5. W.W. Bledsoe, I. Browning, Pattern recognition and reading by machine, in: F.E. Heart (Ed.), Papers presented at the 1959 eastern joint IRE-AIEE-ACM computer conference, IRE-AIEE-ACM 1959 (Eastern), Boston, Massachusetts, USA, December 1-3, 1959, ACM, 1959, pp. 225–232.

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