Search Results - standard stochastic gradient algorithm

Digital image super-resolution reconstruction method based on stochastic gradient descent algorithm.

Authors: Yu, Yinghuai Peng, Xiaohong Ye, Xiaoxia

Source: Egyptian Informatics Journal. Sep2025, Vol. 31, pN.PAG-N.PAG. 1p.

Subject Terms: Image reconstruction, High resolution imaging, Remote-sensing images, Computational complexity, Household electronics, Deep learning, Image reconstruction algorithms

Comparison of Tree‐Based Machine Learning Algorithms for Classification of Livestock Breeds Based On Post‐Thaw Spermatological Parameters.

Authors: Özen, Doğukan Özen, Hülya Gül, Elif Bersu et al.

Source: Veterinary Medicine & Science. Sep2025, Vol. 11 Issue 5, p1-10. 10p.

Subjects: Livestock breeds, Machine learning, Semen analysis, CART algorithms, Classification, Cattle breeds

Leveraging stacking ensemble learning for the classification of internet gaming disorder using IGDS9-SF.

Authors: Chandra, Matthew Anderson Khairunizam, Muhammad Rafi Chandra, Nikolaus et al.

Source: Procedia Computer Science. 2025, Vol. 269, p1672-1681. 10p.

Subject Terms: Gaming disorder, Ensemble learning, Stochastic learning models, Machine learning, Random forest algorithms, Classification

Solving large-scale two-stage stochastic optimization problems by specialized interior point method

Authors: de la Lama Zubiran, Paula

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

Thesis Advisors: Castro, Jordi

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Matemàtiques i estadística

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/671488
https://dx.doi.org/10.5821/dissertation-2117-344366

Guided Stochastic Gradient Descent Algorithm for inconsistent datasets.

Authors: Sharma, Anuraganand¹ sharma_au@usp.ac.fj

Source: Applied Soft Computing. Dec2018, Vol. 73, p1068-1080. 13p.

Subject Terms: Machine learning, Artificial neural networks, Logistic regression analysis, Data mining, Classification algorithms

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

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

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

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

Recursive Stochastic Algorithms for Global Optimization in $\mathbb{R}^d $: Recursive stochastic algorithms for global optimization in \(\mathbb{R}{}^ d\)

Authors: Sanjoy K. Mitter Saul B. Gelfand

Source: SIAM Journal on Control and Optimization. 29:999-1018

Subject Terms: Combinatorial optimization, stochastic gradient algorithms, global optimization, random optimization, global minimum, diffusions, Gaussian noise, Wiener process, Numerical mathematical programming methods, Nonlinear programming, convergence in probability, simulated annealing, diffusion process, Diffusion processes

File Description: application/xml

Access URL: https://zbmath.org/14226
https://doi.org/10.1137/0329055
https://dl.acm.org/doi/10.1137/0329055
https://locus.siam.org/doi/abs/10.1137/0329055
https://epubs.siam.org/doi/abs/10.1137/0329055

Convergence Analysis of Weighted Stochastic Gradient Identification Algorithms Based on Latest‐Estimation for ARX Models

Authors: Wu, Ai‐Guo Fu, Fang‐Zhou Dong, Rui‐Qi et al.

Contributors: Wu, Ai‐Guo Fu, Fang‐Zhou Dong, Rui‐Qi et al.

Source: Asian Journal of Control ; volume 21, issue 1, page 509-519 ; ISSN 1561-8625 1934-6093

Availability: https://doi.org/10.1002/asjc.1747
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fasjc.1747
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.1747
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asjc.1747

Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm.

Authors: Yuan, Deming Ho, Daniel W. C. Xu, Shengyuan

Source: IEEE Transactions on Neural Networks & Learning Systems; Jun2021, Vol. 32 Issue 6, p2344-2357, 14p

Subject Terms: ALGORITHMS, MULTIAGENT systems, APPROXIMATION algorithms, STOCHASTIC processes, LINEAR programming

G+E copula model to improve the estimation of the genetic parameters in bivariate mixed model

Authors: Rohmer, Tom Bruning, Victoria Kuhn, Estelle et al.

Contributors: Rohmer, Tom Bruning, Victoria Kuhn, Estelle et al.

Source: https://hal.inrae.fr/hal-04995008 ; 2025.

Subject Terms: Quantitative genetics, Linear mixed model, Copula, Stochastic gradient algorithm, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

Availability: https://hal.inrae.fr/hal-04995008
https://hal.inrae.fr/hal-04995008v1/document
https://hal.inrae.fr/hal-04995008v1/file/CopGenMod-HAL.pdf

Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points.

Authors: Balasubramanian, Krishnakumar Ghadimi, Saeed

Source: Foundations of Computational Mathematics; Feb2022, Vol. 22 Issue 1, p35-76, 42p

Subject Terms: APPROXIMATION algorithms, NEWTON-Raphson method, STOCHASTIC approximation, CONSTRAINED optimization, HESSIAN matrices, ESTIMATION theory

Stochastic Gradient Descent–Whale Optimization Algorithm-Based Deep Convolutional Neural Network To Crowd Emotion Understanding

Authors: Ratre, Avinash Manolopoulos, Yannis

Contributors: Ratre, Avinash Manolopoulos, Yannis

Source: The Computer Journal ; volume 63, issue 2, page 267-282 ; ISSN 0010-4620 1460-2067

Availability: https://doi.org/10.1093/comjnl/bxz103
http://academic.oup.com/comjnl/article-pdf/63/2/267/32519395/bxz103.pdf

Understanding the Role of Optimization Algorithms in Learning Over-parameterized Models

Authors: Zou, Difan

Subject Terms: Computer science, Deep Learning, Generalization, Optimization, Over-parameterization, Stochastic Gradient Descent

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/9fs4r6kz
https://escholarship.org/content/qt9fs4r6kz/qt9fs4r6kz.pdf

Natural Evolutionary Gradient Descent Strategy for Variational Quantum Algorithms

Authors: Jianshe Xie Chen Xu Chenhao Yin et al.

Source: Intelligent Computing, Vol 2 (2023)

Subject Terms: Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2771-5892

Access URL: https://doaj.org/article/053bff17924f428c95153e153acdbad9

The Continuous Stochastic Gradient Method

Authors: Uihlein, Andrian orcid:0000-0001-8001- Pflug, Lukas et al.

Subject Terms: Mathematics, Algorithm, Stochastic Gradient Scheme, Gradient Descent Method, Convergence Analysis, Step Size Rule, Backtracking Line Search, Constant Step Size, Structural Optimisation, Topology Optimisation, Nanoparticles, Optical Properties, Colour

Relation: arXiv:2303.12477v1; arXiv:2203.06888v2; https://zenodo.org/communities/crc1411/; https://zenodo.org/records/10032613; oai:zenodo.org:10032613; https://doi.org/10.5281/zenodo.10032613

Availability: https://doi.org/10.5281/zenodo.10032613
https://zenodo.org/records/10032613

ASYMPTOTIC AND FINITE-SAMPLE PROPERTIES OF ESTIMATORS BASED ON STOCHASTIC GRADIENTS

Authors: Toulis, Panos Airoldi, Edoardo M.

Source: The Annals of Statistics, 2017 Aug 01. 45(4), 1694-1727.

Access URL: https://www.jstor.org/stable/26362880

A Spatial Haplotype Copying Model with Applications to Genotype Imputation

Authors: Yang, Wen-Yun Hormozdiari, Farhad Eskin, Eleazar et al.

Source: Journal of Computational Biology. 22(5)

Subject Terms: Biological Sciences, Genetics, Human Genome, Algorithms, Chromosomes, Human, Pair 22, Genetic Variation, Genetics, Population, Genome, Human, Genome-Wide Association Study, Geography, Haplotypes, Humans, Linkage Disequilibrium, Markov Chains, Models, Genetic, Polymorphism, Single Nucleotide, Racial Groups, expectation maximization (EM) algorithm, Genomes, stochastic gradient descent, genotype imputation, single nucleotide, polymorphism, spatial genetics, linkage disequilibrium, Mathematical Sciences, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/8bt9m683
https://escholarship.org/content/qt8bt9m683/qt8bt9m683.pdf

Can undersampling boost fraud detection? Combining undersampling with stochastic gradient boosting for high-dimensional prediction of rare events

Authors: Kvisgaard, Vera Haugen

Source: Kvisgaard, Vera Haugen. Can undersampling boost fraud detection? Combining undersampling with stochastic gradient boosting for high-dimensional prediction of rare events. Master thesis, University of Oslo, 2020

Availability: http://hdl.handle.net/10852/81510
https://www.duo.uio.no/bitstream/handle/10852/81510/1/Kvisgaard-Vera-Thesis.pdf

Dynamic estimation of probability density using quantum neural network based on simple harmonic oscillator perturbed by an electric field.

Authors: Sagar, Guguloth Parthasarathy, Harish Agarwal, Vijyant

Source: Cognitive Neurodynamics; 8/12/2025, Vol. 19 Issue 1, p1-14, 14p

A novel multi-innovation gradient support vector machine regression method.

Authors: Ma, Hao Ding, Feng Wang, Yan

Source: ISA Transactions. Nov2022, Vol. 130, p343-359. 17p.

Subject Terms: Support vector machines, Cost functions, Parameter estimation, Technological innovations