Výsledky vyhledávání - "Stochastic gradient descent algorithms"

Integrated Deep Learning Framework for Brain Tumor Classification using Stochastic Gradient Descent Algorithms

Autoři: Dr. Mohammed Sirajuddin P. Sudhakar A. Srinivasa

Zdroj: 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). :1911-1915

Enhancing Cloud Security: A Hybrid AI Approach for Intrusion Detection Using Convolutional Neural Networks and Stochastic Gradient Descent Algorithms

Autoři: Malyala Gayatri Vijayalakshmi Chintamaneni Revuri Swapna a další

Zdroj: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). :623-628

Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data

Autoři: Wen Qin Xin Luo Shuai Li a další

Zdroj: IEEE Transactions on Automation Science and Engineering. 21:2716-2729

Témata: latent factor analysis, Big data, high-dimensional and incomplete matrix, machine learning, parallelization, stochastic gradient descent, adaptive model, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms

Autoři: Kaihong Lu Hongxia Wang Huanshui Zhang a další

Zdroj: IEEE Transactions on Automatic Control. 69:2189-2204

Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams

Autoři: Tao Hai Hongwei Li Shahab S. Band a další

Přispěvatelé: Tao Hai Hongwei Li Shahab S. Band a další

Zdroj: Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 2206-2220 (2022)

Témata: Longitudinal dispersion coefficient, particle swarm optimization, Particle swarm optimization, 0208 environmental biotechnology, 0207 environmental engineering, Multi-layer perceptron, deep learning, Deep learning, 02 engineering and technology, Statistical evaluation, Engineering (General). Civil engineering (General), multi-layer perceptron, Stochastic gradient descent, statistical evaluation, 13. Climate action, stochastic gradient descent, TA1-2040

Přístupová URL adresa: https://doaj.org/article/2c381ca8d63a42469104d3c6126a7254

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

GeoAdaLer: Geometric Insights into Adaptive Stochastic Gradient Descent Algorithms

Autoři: Eleh, Chinedu Mwanza, Masuzyo Aguegboh, Ekene a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Machine Learning (stat.ML), Mathematics - Optimization and Control, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2405.16255

Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis

Autoři: Xin Luo Wen Qin MengChu Zhou

Zdroj: 2021 IEEE International Conference on Services Computing (SCC). :285-290

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9592447
https://doi.org/10.1109/SCC53864.2021.00041
http://xplorestaging.ieee.org/ielx7/9592361/9592191/09592447.pdf?arnumber=9592447
http://dblp.uni-trier.de/db/conf/IEEEscc/scc2021.html#QinLZ21

Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms

Autoři: Xin Luo Dexian Wang MengChu Zhou a další

Zdroj: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:916-926

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

Uniform-in-time weak error analysis for stochastic gradient descent algorithms via diffusion approximation

Autoři: Tingran Gao Jian-Guo Liu Yulong Lu a další

Zdroj: Communications in Mathematical Sciences. 18:163-188

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 60J20, 90C15, Statistics - Machine Learning, Optimization and Control (math.OC), G.1.6, FOS: Mathematics, Machine Learning (stat.ML), 0101 mathematics, 16. Peace & justice, Mathematics - Optimization and Control, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/1902.00635
http://arxiv.org/abs/1902.00635
https://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-00635
https://www.intlpress.com/site/pub/pages/journals/items/cms/content/vols/0018/0001/a007/

Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems

Autoři: Xin Luo MengChu Zhou

Zdroj: IEEE Robotics and Automation Letters. 4:618-624

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://researchwith.njit.edu/en/publications/effects-of-extended-stochastic-gradient-descent-algorithms-on-imp
https://doi.org/10.1109/LRA.2019.2891986
https://dblp.uni-trier.de/db/journals/ral/ral4.html#0001Z19

Berry–Esseen bounds for multivariate nonlinear statistics with applications to M-estimators and stochastic gradient descent algorithms

Autoři: Qi-Man Shao Zhuo-Song Zhang

Zdroj: Bernoulli. 28

Témata: 0101 mathematics, 01 natural sciences

Berry--Esseen Bounds for Multivariate Nonlinear Statistics with Applications to M-estimators and Stochastic Gradient Descent Algorithms

Autoři: Shao, Qi-Man Zhang, Zhuo-Song

Témata: Primary 60F05, 62E20, secondary 62F12, Probability (math.PR), FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), 0101 mathematics, 01 natural sciences, Mathematics - Probability

Přístupová URL adresa: http://arxiv.org/abs/2102.04923

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 Tensor CP Decomposition Method for Clustering Heterogeneous Information Networks via Stochastic Gradient Descent Algorithms

Autoři: Jibing Wu Zhifei Wang Yahui Wu a další

Zdroj: Scientific Programming. 2017:1-13

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Popis souboru: text/xhtml

Přístupová URL adresa: http://downloads.hindawi.com/journals/sp/2017/2803091.pdf
https://dblp.uni-trier.de/db/journals/sp/sp2017.html#WuWWLDH17
https://sandbox.dissem.in/p/453785/a-tensor-cp-decomposition-method-for-clustering-heterogeneous-information-networks-via-stochastic-gradient-descent-algorithms/
https://downloads.hindawi.com/journals/sp/2017/2803091.pdf
https://doaj.org/article/f54a97654c764370885d39a5cdd1fed5
https://core.ac.uk/display/89169971
https://www.hindawi.com/journals/sp/2017/2803091/

Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms

Autoři: Ma, Yujing Rusu, Florin

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Databases, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), 02 engineering and technology, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2004.08771

Uniform-in-Time Weak Error Analysis for Stochastic Gradient Descent Algorithms via Diffusion Approximation

Autoři: Feng, Yuanyuan Gao, Tingran Li, Lei a další

Témata: Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning, 60J20, 90C15, G.1.6, text

URL: http://arxiv.org/abs/1902.00635

Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes

Autoři: Thanh-Nghi Do

Zdroj: Vietnam Journal of Computer Science. 1:107-115

Témata: Artificial neural network, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Support vector machine, Semi-Supervised Learning, Visual Recognition, Representation Learning, 02 engineering and technology, Pattern recognition (psychology), Detection and Management of Retinal Diseases, 03 medical and health sciences, Deep Learning, Stochastic gradient descent, 0302 clinical medicine, Automated Analysis of Blood Cell Images, Artificial Intelligence, Health Sciences, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Binary classification, Gradient descent, Transfer Learning, Computer science, Algorithm, Multiclass classification, Advances in Transfer Learning and Domain Adaptation, Computer Science, Physical Sciences, Medicine, Computer Vision and Pattern Recognition, Classifier (UML)

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2Fs40595-013-0013-2.pdf
https://link.springer.com/content/pdf/10.1007%2Fs40595-013-0013-2.pdf
https://link.springer.com/article/10.1007/s40595-013-0013-2
https://paperity.org/p/59800227/parallel-multiclass-stochastic-gradient-descent-algorithms-for-classifying-million-images
https://core.ac.uk/display/81852655

Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization

Autoři: Tran-Dinh, Quoc Pham, Nhan H. Phan, Dzung T. a další

Témata: FOS: Computer and information sciences, Statistics - Machine Learning, Optimization and Control (math.OC), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Machine Learning (stat.ML), 02 engineering and technology, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/1905.05920

Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion

Autoři: Makari, Faraz Teflioudi, Christina Gemulla, Rainer a další

Zdroj: Knowledge and Information Systems. 42:493-523

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: https://core.ac.uk/display/45939589
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_2077711
https://link.springer.com/article/10.1007/s10115-013-0718-7
http://pubman.mpdl.mpg.de/pubman/item/escidoc:2077711
https://link.springer.com/article/10.1007/s10115-013-0718-7/fulltext.html
https://dblp.uni-trier.de/db/journals/kais/kais42.html#MakariTGHS15