Výsledky vyhledávání - Mini-batch gradient descent optimization algorithm*

Gradient-descent methods for fast quantum state tomography

Autoři: Gaikwad, Akshay Torres, Manuel Sebastian Ahmed, Shahnawaz a další

Zdroj: Kvantsimulering och kvantkommunikation med stora atomer Open Superconducting Quantum Computers (OpenSuperQPlus) Quantum Science and Technology. 10(4)

Témata: gradient descent optimization, density matrix parameterization, quantum state tomography

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/548723
https://research.chalmers.se/publication/548723/file/548723_Fulltext.pdf

Unleashing the Power of Gradient Descent: Dive into the World of Optimization Algorithms.

Autoři: Jaiswar, Vishal Triloknath

Zdroj: REST Journal on Banking Accounting & Business; Jun2023, Vol. 2 Issue 2, p56-63, 8p

Témata: OPTIMIZATION algorithms, PARALLEL processing, DISTRIBUTED databases

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

From big data to smart data: a sample gradient descent approach for machine learning.

Autoři: Ganie, Aadil Gani Dadvandipour, Samad

Zdroj: Journal of Big Data; 10/20/2023, Vol. 10 Issue 1, p1-13, 13p

Témata: TIME complexity, MACHINE learning, CONVEX functions, RESEARCH personnel, BIG data, ALGORITHMS

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

L1-Smooth SVM with Distributed Adaptive Proximal Stochastic Gradient Descent with Momentum for Fast Brain Tumor Detection.

Autoři: Chuandong Qin Yu Cao Liqun Meng

Zdroj: Computers, Materials & Continua; 2024, Vol. 79 Issue 2, p1975-1994, 20p

Témata: MACHINE learning, BRAIN tumors, SUPPORT vector machines, DISTRIBUTED computing, DISTRIBUTED algorithms

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)

Gradient Descent Optimization Algorithms for Decoding SCMA Signals.

Autoři: Vidal-Beltrán, Sergio López Bonilla, José Luis Piñón, Fernando Martínez a další

Zdroj: International Journal of Computational Intelligence & Applications; Mar2021, Vol. 20 Issue 1, pN.PAG-N.PAG, 14p

Témata: MATHEMATICAL optimization, SCIENTIFIC communication, MACHINE learning, DEEP learning, WIRELESS communications, GENEALOGY, DECODING algorithms

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

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

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

Feature-based hybrid strategies for gradient descent optimization in end-to-end speech recognition.

Autoři: Dokuz, Yesim Tüfekci, Zekeriya

Zdroj: Multimedia Tools & Applications; Mar2022, Vol. 81 Issue 7, p9969-9988, 20p

Témata: SPEECH perception, AUTOMATIC speech recognition, DEEP learning, COMPUTER vision, IMAGE recognition (Computer vision), SPEECH

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.

Autoři: Medina, Sebastian Romero, Eduardo Cruz-Roa, Angel a další

Zdroj: PLoS ONE; 11/5/2025, Vol. 20 Issue 11, p1-20, 20p

Témata: DENSITY matrices, HISTOPATHOLOGY, INFORMATION technology, UNCERTAINTY (Information theory), CLASSIFICATION algorithms, SUPERVISED learning

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)

Marking method based gradient descent for train axle on primary turnery to processing optimal manufacturing. (English)

Autoři: Renming, Liu Yao, Zhang Wenbing, He

Zdroj: Journal of Electronic Measurement & Instrument; Jun2025, Vol. 39 Issue 6, p212-220, 9p