Výsledky vyhledávání - Gradient-based learning algorithm~
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Autoři: a další
Zdroj: IEEE Access, Vol 13, Pp 81507-81523 (2025)
Témata: Motion cueing algorithm, deep reinforcement learning, analytic policy gradient (APG), driving simulator, differentiable simulator, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Přístupová URL adresa: https://doaj.org/article/dea12f7c1c7845df8ddfff01c0e46757
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Autoři: Sánchez López, Borja
Přispěvatelé: University/Department: Universitat de Barcelona. Departament de Matemàtiques i Informàtica
Thesis Advisors: Cerquides Bueno, Jesús, López Sánchez, Maite
Zdroj: TDX (Tesis Doctorals en Xarxa)
Témata: 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
Popis souboru: application/pdf
Přístupová URL adresa: http://hdl.handle.net/10803/689000
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Zdroj: SIAM Journal on Numerical Analysis. 61:973-994
Témata: 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
Přístupová URL adresa: http://arxiv.org/abs/2103.09280
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Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks
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Zdroj: IEEE Access, Vol 9, Pp 28742-28752 (2021)
Témata: 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
Přístupová URL adresa: 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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Autoři:
Zdroj: BMC Bioinformatics; 10/21/2025, Vol. 26 Issue 1, p1-19, 19p
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Autoři: a další
Zdroj: 2020 2nd International Conference on Industrial Artificial Intelligence (IAI). :1-6
Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Autoři: a další
Zdroj: IEEE Access, Vol 6, Pp 70223-70235 (2018)
Témata: 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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Zdroj: SIAM Journal on Mathematics of Data Science. 2:103-131
Témata: 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)
Přístupová URL adresa: 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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Zdroj: Mechanisms and Machine Science ISBN: 9783030918910
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Alternate Title: Gradient-based multi-agent meta deep reinforcement learning algorithm.
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Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu. May2024, Vol. 41 Issue 5, p1356-1361. 6p.
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Autoři: a další
Zdroj: Neural Computing and Applications. 32:2445-2456
Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Autoři: a další
Zdroj: Computational & Applied Mathematics; Jul2025, Vol. 44 Issue 5, p1-33, 33p
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Zdroj: Fuzzy Sets and Systems. 319:28-49
Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Autoři: a další
Zdroj: Data & Knowledge Engineering. 112:106-129
Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice
Přístupová URL adresa: 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 -
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Zdroj: Circuits, Systems, and Signal Processing. 37:593-612
Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Přístupová URL adresa: 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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Autoři: a další
Přispěvatelé: a další
Zdroj: Pattern Recognition Letters. 128:480-487
Témata: Image segmentation, Meta-learning, Gradient-based techniques, Algorithm recommendation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Gradient-based technique
Popis souboru: application/pdf
Přístupová URL adresa: 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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Zdroj: Wireless Networks (10220038); Jan2025, Vol. 31 Issue 1, p377-390, 14p
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Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-19 (2025)
Témata: 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
Popis souboru: electronic resource
Relation: https://doaj.org/toc/1471-2105
Přístupová URL adresa: https://doaj.org/article/d332ec21bc0d4b92befed39d4cb820ae
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