Výsledky vyhledávání - Mini-batch gradient descent optimization algorithm

GGD: Grafting Gradient Descent.

Autoři: Yanjing Feng Yongdao Zhou

Zdroj: Journal of Machine Learning Research. Jan-Dec2024, Vol. 25, p1-87. 87p.

Témata: OPTIMIZATION algorithms, ROBUST optimization, SAMPLING methods

A Modified Stochastic Gradient Descent Optimization Algorithm With Random Learning Rate for Machine Learning and Deep Learning.

Autoři: Shim, Duk-Sun Shim, Joseph

Zdroj: International Journal of Control, Automation & Systems; Nov2023, Vol. 21 Issue 11, p3825-3831, 7p

Accelerated stochastic approximation with state-dependent noise.

Autoři: Ilandarideva, Sasila Juditsky, Anatoli Lan, Guanghui a další

Zdroj: Mathematical Programming. Sep2025, Vol. 213 Issue 1/2, p239-280. 42p.

Témata: *ESTIMATION theory, CONVEX programming, OPTIMIZATION algorithms, STOCHASTIC programming

Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems.

Autoři: Angelini MC Cavaliere AG Marino R a další

Zdroj: Scientific reports [Sci Rep] 2024 May 21; Vol. 14 (1), pp. 11638. Date of Electronic Publication: 2024 May 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Application of Wiener Filter Based on Improved BB Gradient Descent in Iris Image Restoration.

Autoři: Qin C Zhang Y

Zdroj: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 1165-1183. Date of Electronic Publication: 2024 Sep 04.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Výrazy ze slovníku MeSH: Iris*/anatomy & histology , Iris*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Humans ; Signal-To-Noise Ratio ; Algorithms

Backtracking Gradient Descent Method and Some Applications in Large Scale Optimisation. Part 2: Algorithms and Experiments.

Autoři: Truong, Tuyen Trung Nguyen, Hang-Tuan

Zdroj: Applied Mathematics & Optimization. Dec2021, Vol. 84 Issue 3, p2557-2586. 30p.

Témata: *ALGORITHMS, RANDOM dynamical systems, SOURCE code, METAHEURISTIC algorithms

Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator.

Autoři: Qi, Haobo Wang, Feifei Wang, Hansheng

Zdroj: Journal of Computational & Graphical Statistics. Oct-Dec2023, Vol. 32 Issue 4, p1348-1360. 13p.

Témata: *REGRESSION analysis, *PROBLEM solving, SAMPLE size (Statistics)

Research on high-precision measuring technology of gear grinder based on the consideration of machine tool thermal error and probe pre-travel error.

Autoři: Yang, Yongming Wang, Zhonghou Kubo, Aizoh

Zdroj: International Journal of Advanced Manufacturing Technology. Dec2024, Vol. 135 Issue 11, p5187-5211. 25p.

Témata: *OPTIMIZATION algorithms, *SPUR gearing, *LEAST squares, *SURFACE morphology, *MACHINE tools, *HELICAL gears

Efficient mini-batch stochastic gradient descent with Centroidal Voronoi Tessellation for PDE-constrained optimization under uncertainty.

Autoři: Chen, Liuhong Xiong, Meixin Ming, Ju a další

Zdroj: Physica D. Nov2024, Vol. 467, pN.PAG-N.PAG. 1p.

Témata: *CENTROIDAL Voronoi tessellations, *OPTIMIZATION algorithms, *MATHEMATICAL optimization

A Probabilistic Descent Ensemble for Malware Prediction Using Deep Learning.

Autoři: Kumar, R. Vinoth Suguna, R.

Zdroj: EAI Endorsed Transactions on Internet of Things. 2024, Vol. 10, p1-11. 11p.

Témata: *ARTIFICIAL neural networks, *OPTIMIZATION algorithms, *OPTIMAL stopping (Mathematical statistics), *MAXIMUM likelihood statistics, *MALWARE, *DEEP learning

Bridging Learning and Optimization: Advanced Algorithms for Combinatorial and Stochastic Optimization in Power Systems and Machine Learning

Autoři: Qin, Jingtao

Témata: Electrical engineering, Computer science, Mathematics, Combinatorial optimization, Deep machine learning, Distributed energy resources, Electricity market, Stochastic optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/5tr630nh
https://escholarship.org/content/qt5tr630nh/qt5tr630nh.pdf

A survey of first order stochastic optimization methods and algorithms based adaptive learning rate from a machine learning perspective.

Autoři: Weijuan, Shi Shuib, Adibah Alwadood, Zuraida

Zdroj: AIP Conference Proceedings. 2023, Vol. 2896 Issue 1, p1-7. 7p.

Témata: *OPTIMIZATION algorithms, *STOCHASTIC orders, *MACHINE learning

Backtracking Gradient Descent Method and Some Applications in Large Scale Optimisation. Part 2: Algorithms and Experiments

Autoři: Truong, Tuyen Trung Nguyen, Hang-Tuan

Zdroj: Truong, Tuyen Trung Nguyen, Hang-Tuan . Backtracking Gradient Descent Method and Some Applications in Large Scale Optimisation. Part 2: Algorithms and Experiments. Applied Mathematics and Optimization. 2020
Applied Mathematics and Optimization

Dostupnost: http://hdl.handle.net/10852/79322
https://www.duo.uio.no/bitstream/handle/10852/79322/1/Truong-Nguyen2020_Article_BacktrackingGradientDescentMet.pdf

SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm.

Autoři: Chakroun, Imen Haber, Tom Ashby, Thomas J.

Zdroj: Procedia Computer Science. 2017, Vol. 108, p2318-2322. 5p.

Témata: Stochastic convergence, Machine learning, High performance computing, Algorithms, Mathematical optimization

AMAdam: adaptive modifier of Adam method.

Autoři: Kabiri, Hichame Ghanou, Youssef Khalifi, Hamid a další

Zdroj: Knowledge & Information Systems; Jun2024, Vol. 66 Issue 6, p3427-3458, 32p

Témata: OPTIMIZATION algorithms, ARTIFICIAL intelligence, FILM reviewing, ACCELERATION (Mechanics)

A Mini‐Batch Stochastic Optimization‐Based Adaptive Localization Scheme and Its Implementation in NLS‐i4DVar.

Autoři: Zhang, Hongqin Tian, Xiangjun Feng, Xiaobing

Zdroj: Earth & Space Science. Aug2022, Vol. 9 Issue 8, p1-11. 11p.

Témata: *COST functions, *SHALLOW-water equations, *MATHEMATICAL optimization

Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions.

Autoři: Fehrman, Benjamin Gess, Benjamin Jentzen, Arnulf

Zdroj: Journal of Machine Learning Research. 2020, Issue 119-145, p1-48. 48p.

Témata: *STOCHASTIC convergence, *ALGORITHMS, MACHINE learning

Congestion avoidance in 6G networks with V Gradient Geocast Routing Protocol

Autoři: Arundhati Sahoo Asis Kumar Tripathy

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Témata: Congestion avoidance, Geocast routing, Optimization, Adverse weather condition, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/8dbf015a17c944068c9d8ea167e50aa6

Variance Reduction Optimization Algorithm Based on Random Sampling

Autoři: GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

Zdroj: Jisuanji kexue yu tansuo, Vol 19, Iss 3, Pp 667-681 (2025)

Témata: stochastic gradient descent, variance reduction, convex optimization, non-convex optimization, convergence rate, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2403031.pdf; https://doaj.org/toc/1673-9418

Přístupová URL adresa: https://doaj.org/article/c01dc0c124004d809cef81e80b3ba984

Variance Reduced Methods for Non-Convex Composition Optimization.

Autoři: Liu, Liu Liu, Ji Tao, Dacheng

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence. Sep2022, Vol. 44 Issue 9, p5813-5825. 13p.

Témata: *PROBLEM solving, *ESTIMATION bias, APPROXIMATION algorithms, RADIO frequency, REINFORCEMENT learning, COMPLEXITY (Philosophy)