Search Results - Gradient-based learning algorithm
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Authors: et al.
Source: IEEE Access, Vol 13, Pp 81507-81523 (2025)
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Authors: Sánchez López, Borja
Contributors: University/Department: Universitat de Barcelona. Departament de Matemàtiques i Informàtica
Thesis Advisors: Cerquides Bueno, Jesús, López Sánchez, Maite
Source: TDX (Tesis Doctorals en Xarxa)
Subject Terms: Aprenentatge automàtic, Aprendizaje automático, Machine learning, Optimització matemàtica, Optimización matemática, Mathematical optimization, Programació (Matemàtica), Programación matemática, Mathematical programming, Algorismes computacionals, Algoritmos computacionales, Computer algorithms, Convergència (Matemàtica), Convergencia, Convergence, Ciències Experimentals i Matemàtiques
File Description: application/pdf
Access URL: http://hdl.handle.net/10803/689000
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Authors: et al.
Source: SIAM Journal on Numerical Analysis. 61:973-994
Subject Terms: Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences
Access URL: http://arxiv.org/abs/2103.09280
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Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks
Authors: et al.
Source: IEEE Access, Vol 9, Pp 28742-28752 (2021)
Subject Terms: high order neural networks, smoothing Group Lasso, ridge polynomial neural network, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 0101 mathematics, Convergence, 01 natural sciences, TK1-9971
Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09311170.pdf
https://doaj.org/article/d08d8abfe023489e97d4503a1561247b
https://doaj.org/article/d08d8abfe023489e97d4503a1561247b
https://ieeexplore.ieee.org/document/9311170/
https://doi.org/10.1109/ACCESS.2020.3048235
https://dblp.uni-trier.de/db/journals/access/access9.html#FanPLL21 -
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Authors:
Source: BMC Bioinformatics; 10/21/2025, Vol. 26 Issue 1, p1-19, 19p
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Authors: et al.
Source: 2020 2nd International Conference on Industrial Artificial Intelligence (IAI). :1-6
Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Authors: et al.
Source: IEEE Access, Vol 6, Pp 70223-70235 (2018)
Subject Terms: cooperative tasks, Q-learning, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, gradient ascent, Multi-agent reinforcement learning, TK1-9971
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Authors:
Source: SIAM Journal on Mathematics of Data Science. 2:103-131
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Statistics - Machine Learning, multiagent learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, gradient-based algorithms, continuous games, Machine Learning (cs.LG)
Access URL: https://epubs.siam.org/doi/pdf/10.1137/18M1231298
http://arxiv.org/abs/1804.05464
https://arxiv.org/abs/1804.05464v3
https://arxiv.org/pdf/1804.05464v3
https://ui.adsabs.harvard.edu/abs/2018arXiv180405464M/abstract
https://epubs.siam.org/doi/pdf/10.1137/18M1231298
https://epubs.siam.org/doi/abs/10.1137/18M1231298
https://doi.org/10.1137/18M1231298
https://dblp.uni-trier.de/db/journals/simods/simods2.html#MazumdarRS20 -
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Authors:
Source: Mechanisms and Machine Science ISBN: 9783030918910
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Alternate Title: Gradient-based multi-agent meta deep reinforcement learning algorithm.
Authors: et al.
Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. May2024, Vol. 41 Issue 5, p1356-1361. 6p.
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Authors: et al.
Source: Neural Computing and Applications. 32:2445-2456
Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Authors: et al.
Source: Computational & Applied Mathematics; Jul2025, Vol. 44 Issue 5, p1-33, 33p
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Authors:
Source: Fuzzy Sets and Systems. 319:28-49
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Authors: et al.
Source: Data & Knowledge Engineering. 112:106-129
Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice
Access URL: https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201702246147367903
https://www.sciencedirect.com/science/article/pii/S0169023X16302038
https://doi.org/10.1016/j.datak.2017.10.004
https://dl.acm.org/doi/10.1016/j.datak.2017.10.004
https://dblp.uni-trier.de/db/journals/dke/dke112.html#Reyes-GalavizPH17 -
17
Authors: et al.
Source: Circuits, Systems, and Signal Processing. 37:593-612
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://dblp.uni-trier.de/db/journals/cssp/cssp37.html#KhanANM18
https://rd.springer.com/article/10.1007/s00034-017-0572-z
https://research-repository.uwa.edu.au/en/publications/a-novel-fractional-gradient -based -learning -algorithm -for-recurren
https://link.springer.com/article/10.1007/s00034-017-0572-z
https://link.springer.com/10.1007/s00034-017-0572-z -
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Authors: et al.
Contributors: et al.
Source: Pattern Recognition Letters. 128:480-487
Subject Terms: Image segmentation, Meta-learning, Gradient-based techniques, Algorithm recommendation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Gradient-based technique
File Description: application/pdf
Access URL: https://hdl.handle.net/11368/3004529
https://www.sciencedirect.com/science/article/pii/S0167865519302983
https://dblp.uni-trier.de/db/journals/prl/prl128.html#AguiarMMCCJ19
http://ui.adsabs.harvard.edu/abs/2019PaReL.128..480A/abstract
https://www.sciencedirect.com/science/article/pii/S0167865519302983
https://bv.fapesp.br/pt/publicacao/173650/a-meta-learning -approach-for-selecting-image-segmentation-al
https://hdl.handle.net/11368/3004529
https://www.sciencedirect.com/science/article/pii/S0167865519302983
https://doi.org/10.1016/j.patrec.2019.10.018 -
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Authors: et al.
Source: Wireless Networks (10220038); Jan2025, Vol. 31 Issue 1, p377-390, 14p
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Authors:
Source: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-19 (2025)
Subject Terms: Big data, Dimension reduction, Feature selection, Prediction model, NASH disease, Supervised machine learning, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
File Description: electronic resource
Relation: https://doaj.org/toc/1471-2105
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