Výsledky vyhledávání - Mini-batch gradient algorithm*

A Mini-Batch Proximal Stochastic Recursive Gradient Algorithm with Diagonal Barzilai–Borwein Stepsize

Autoři: Yu, T.T. Liu, X.W. Dai, Y.H. a další

Zdroj: Journal of the Operations Research Society of China. 11:277-307

Témata: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Popis souboru: fulltext

Mini-Batch Stochastic Conjugate Gradient Algorithms with Minimal Variance

Autoři: Caixia Kou Feifei Gao and Yu-Hong Dai

Zdroj: Journal of Computational Mathematics. 0:0-0

Multi-Pass Sequential Mini-Batch Stochastic Gradient Descent Algorithms for Noise Covariance Estimation in Adaptive Kalman Filtering

Autoři: Hee-Seung Kim Krishna R. Pattipati Adam Bienkowski a další

Zdroj: IEEE Access, Vol 9, Pp 99220-99234 (2021)

Témata: 0209 industrial biotechnology, bold-driver, 0203 mechanical engineering, noise covariance estimation, stochastic gradient descent, Adam, Adaptive Kalman filtering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, RMS prop, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09475033.pdf
https://doaj.org/article/a6da10ed48f4421a93d3eb0a3fd72fdf
https://dblp.uni-trier.de/db/journals/access/access9.html#KimZBP21
https://doi.org/10.1109/ACCESS.2021.3094963
https://ieeexplore.ieee.org/document/9475033

A mini-batch stochastic conjugate gradient algorithm with variance reduction

Autoři: Caixia Kou Han Yang

Zdroj: Journal of Global Optimization. 87:1009-1025

Témata: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Implementation of Takagi Sugeno Kang Fuzzy with Rough Set Theory and Mini-Batch Gradient Descent Uniform Regularization

Autoři: Sugiyarto Surono Zani Anjani Rafsanjani Hsm Deshinta Arrova Dewi a další

Zdroj: Emerging Science Journal, Vol 7, Iss 3, Pp 791-798 (2023)

Témata: Artificial neural network, Rough Sets Theory and Applications, Artificial intelligence, mini batch gradient descent, Fuzzy Rough Sets, rough set, 02 engineering and technology, 01 natural sciences, Mathematical analysis, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, T1-995, Regularization (linguistics), Logarithm, Data mining, Technology (General), Fuzzy number, H1-99, Gradient descent, 4. Education, Mathematical optimization, uniform regularization, Computer science, Social sciences (General), Fuzzy logic, Algorithm, takagi sugeno kang fuzzy, Computational Theory and Mathematics, Computer Science, Physical Sciences, Fuzzy set, Classifier (UML), Mathematics

Přístupová URL adresa: https://doaj.org/article/a32c2f5e70dd458d8f0b675133147265

Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator

Autoři: Haobo Qi Feifei Wang Hansheng Wang

Zdroj: Journal of Computational and Graphical Statistics. 32:1348-1360

Témata: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Economics, Computational Mechanics, Sample size determination, Statistics - Computation, Estimator, Mathematical analysis, Engineering, Artificial Intelligence, FOS: Mathematics, Optimization Methods in Machine Learning, Large-Scale Optimization, Active Learning in Machine Learning Research, Computation (stat.CO), Economic growth, Stochastic Gradient Descent, Computer network, Gradient descent, Mathematical optimization, Statistics, Fixed point, Rate of convergence, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Algorithm, Channel (broadcasting), Computer Science, Physical Sciences, Computation, Convergence (economics), Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2304.06564

Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks

Autoři: Ying Zhang Huisheng Zhang Dongpo Xu a další

Zdroj: Neurocomputing. 407:185-193

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0925231220307591
https://dblp.uni-trier.de/db/journals/ijon/ijon407.html#ZhangZZX20
https://doi.org/10.1016/j.neucom.2020.04.114

Comparing Stochastic Gradient Descent and Mini-batch Gradient Descent Algorithms in Loan Risk Assessment

Autoři: Abodunrin AbdulGafar Adigun Chika Yinka-Banjo

Zdroj: Communications in Computer and Information Science ISBN: 9783030956295

Noise Covariance Estimation in Adaptive Kalman Filtering via sequential Mini-batch Stochastic Gradient Descent Algorithms

Autoři: Krishna Pattipati Adam Bienkowski Lingyi Zhang a další

Témata: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Přístupová URL adresa: https://www.techrxiv.org/articles/preprint/Noise_Covariance_Estimation_in_Adaptive_Kalman_Filtering_via_sequential_Mini-batch_Stochastic_Gradient_Descent_Algorithms/14671887/files/28169127.pdf
https://www.techrxiv.org/articles/preprint/Noise_Covariance_Estimation_in_Adaptive_Kalman_Filtering_via_sequential_Mini-batch_Stochastic_Gradient_Descent_Algorithms/14671887

A learning algorithm with a gradient normalization and a learning rate adaptation for the mini-batch type learning

Autoři: Seiichi Koakutsu Daiki Ito Takashi Okamoto

Zdroj: 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). :811-816

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/8105654/

A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize

Autoři: Yu, Tengteng Liu, Xin-Wei Dai, Yu-Hong a další

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2010.00817

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance

Autoři: Giorgia Franchini Federica Porta Valeria Ruggiero a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031812408

Témata: adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition, adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition

Přístupová URL adresa: https://hdl.handle.net/11392/2580170
https://doi.org/10.1007/978-3-031-81241-5_7

带有随机改进Barzilai-Borwein步长的小批量稀疏随机方差缩减梯度法.

Alternate Title: Mini-batch sparse stochastic variance reduced gradient method with randomly improved Barzilai-Borwein steps.

Autoři: 秦传东 杨旭

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu. Dec2023, Vol. 40 Issue 12, p3655-3665. 6p.

Témata: *ALGORITHMS

Expanding an adaptive learning-rate algorithm to handle mini-batch training

Autoři: Holst Andersen, Sören

Témata: Rprop, adaptive learning-rates, deep learning, SGD, algorithm, algorithm development, CNN, supervised-learning, bench-marking, Machine Learning, vanishing gradient problem, optimization method, training, mini-batch training, batch training, Technology and Engineering, Science General, M2

URL: http://lup.lub.lu.se/student-papers/record/9166149

SVRG-AALR: Stochastic Variance-Reduced Gradient Method with Adaptive Alternating Learning Rate for Training Deep Neural Networks.

Autoři: Zou, Shiyun Qin, Hua Yang, Guolin a další

Zdroj: Electronics (2079-9292); Aug2025, Vol. 14 Issue 15, p2979, 29p

Témata: ARTIFICIAL neural networks, MATHEMATICAL optimization, OPTIMIZATION algorithms

NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization

Autoři: Qi Yu Xijun Liang Mengzhen Li a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:5363-5374

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38619963

A mini-batch stochastic conjugate gradient algorithm with variance reduction.

Autoři: Kou, Caixia Yang, Han

Zdroj: Journal of Global Optimization; Nov2023, Vol. 87 Issue 2-4, p1009-1025, 17p

Témata: INFORMATION storage & retrieval systems, CONJUGATE gradient methods, ALGORITHMS, CONVEX functions, ONLINE algorithms

Prediction of students’ academic performance using ANN with mini-batch gradient descent and Levenberg-Marquardt optimization algorithms

Autoři: N Hariadi H Hanifah G Ardaneswari a další

Zdroj: Journal of Physics: Conference Series. 2106:012018

Témata: 4. Education, 05 social sciences, 0503 education

Přístupová URL adresa: https://iopscience.iop.org/article/10.1088/1742-6596/2106/1/012018

Efficient Reduction of Variances in Stochastic Spectral Conjugate Gradient Algorithm.

Autoři: YIMER, SEIFU ENDRIS KUMAM, POOM CHAIPUNYA, PARIN

Zdroj: Carpathian Journal of Mathematics; 2025, Vol. 41 Issue 3, p849-862, 14p

Témata: CONVEX functions, CONJUGATE gradient methods, NONLINEAR equations, MACHINE learning, ALGORITHMS, GENERALIZATION

A stochastic recursive gradient algorithm integrating momentum and the powerball function with adaptive step sizes.

Autoři: Qin, Chuandong Cai, Zilin Guo, Yuhang

Zdroj: International Journal of Machine Learning & Cybernetics; Aug2025, Vol. 16 Issue 7/8, p4367-4387, 21p