Search Results - Optimization Methods in Machine Learning

Graph-Based Machine Learning Estimation Methods for Backbone Optical Network Optimization

Authors: Knapinska, Aleksandra Derda, Jakub Strasburger, Franciszek et al.

Source: IEEE Transactions on Cognitive Communications and Networking. In Press

Subject Terms: graph representation, machine learning, resource allocation, multilayer network

File Description: electronic

Access URL: https://research.chalmers.se/publication/547314
https://research.chalmers.se/publication/547481
https://research.chalmers.se/publication/547481/file/547481_Fulltext.pdf

Cutting-edge approaches to plant disease detection: a survey of machine learning models and optimization methods

Authors: Shantilata Palei Puspanjali Mohapatra

Source: Journal of Ambient Intelligence and Humanized Computing. 16:1073-1086

Data distillation in machine learning: mathematical model and optimization methods

Authors: D. Prokopovych-Tkachenko V. Zvieriev V. Bushkov et al.

Source: System technologies. 4:172-188

Hyperparameter optimization methods in machine learning

Authors: Oleksandr Pozdniakovych

Source: Modeling and Information System in Economics. 104:135-143

Examining the Portability of Deep Learning Runtime Optimization Methods

Authors: Muhammet Alpaslan Tavukçu Ayşe Yılmazer-Metin

Source: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

Hybrid Frameworks Integrating Deep Learning and Optimization Methods for Inverse Design in Nanophotonics

Authors: Harit Keawmuang Shiqi Hu Trevon Badloe et al.

Source: ACS Applied Materials & Interfaces. 17:33259-33270

A Detailed Exploration of Elevating Cybersecurity through Quantum Computing: Innovative Deep Learning Strategies and Optimization Methods

Authors: null Pavan Kumar Vadrevu

Source: Communications on Applied Nonlinear Analysis. 32:2432-2453

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

Authors: Tao Deng Jingrong He Jiwei Sun et al.

Source: Frontiers in Earth Science, Vol 13 (2025)

Subject Terms: open-pit mine, weak interlayer, bench parameters, multi-objective optimization, machine learning, graphical user interface, Science

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/feart.2025.1666375/full; https://doaj.org/toc/2296-6463

Access URL: https://doaj.org/article/824f478133fe4ba8b12d3a786f98bd5f

Application of Machine Learning and Optimization Methods in Engineering Mathematics

Recent Advances in Optimization Methods for Machine Learning: A Systematic Review

Authors: Xiaodong Liu Huaizhou Qi Suisui Jia et al.

Source: Mathematics, Vol 13, Iss 13, p 2210 (2025)

Subject Terms: machine learning, swarm intelligence, QA1-939, optimization methods, deep learning, gradient-based optimization, Mathematics

Access URL: https://doaj.org/article/3cf7261e67f64f5f98b0741c3720dc0d

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements

Authors: Evgenii Kanin Alsu Garipova Sergei Boronin et al.

Source: Petroleum Research, Vol 10, Iss 2, Pp 247-265 (2025)

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Oils, fats, and waxes, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Hydrodynamic similarity, Physics - Fluid Dynamics, 02 engineering and technology, 01 natural sciences, Geophysics (physics.geo-ph), Machine Learning (cs.LG), Physics - Geophysics, Permeability estimation, 0202 electrical engineering, electronic engineering, information engineering, Reservoir modeling, TP670-699, Petroleum refining. Petroleum products, 0101 mathematics, Well test analysis, Optimization methods, Neural networks, TP690-692.5

Access URL: http://arxiv.org/abs/2301.02585
https://doaj.org/article/23c78e18bff4476dbe8ef3db2835d748

Optimization Methods in Healthcare Machine Learning: From Algorithms to Clinical Implementation

Authors: Jaswanth Sunkara Anitha D.

Source: Integrative Machine Learning and Optimization Algorithms for Disease Prediction ISBN: 9798337310879

Comparative Analysis of Inverse Problem-Solving Techniques: Integrating Deep Learning with Advanced Optimization Methods

Authors: Saandeep Sreerambatla

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-7

Application and Optimization of Digital Situated Teaching in University Finance Courses from a Constructivist Perspective: An Analysis Based on Machine Learning Algorithms

Authors: Zebin Liu Xiaoheng Zhang Wende Liu et al.

Source: Education and Information Technologies. 2025 30(13):18059-18088.

Peer Reviewed: Y

Page Count: 30

Descriptors: College Instruction, Teaching Methods, Business Education, Money Management, Constructivism (Learning), Algorithms, College Students, Electronic Learning, Learning Experience, Situated Learning

Optimization Methods in Machine Learning

Authors: Rafik Khachatryan

MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification

Authors: Haonan Li Vijay Govindarajan Tan Fong Ang et al.

Source: Digit Health
Digital Health, Vol 11 (2025)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7, Original Research Article

Access URL: https://doaj.org/article/3ca80ed62c6c4d36a787e626059ad3fb

Enhancing finite-difference based derivative-free optimization methods with machine learning

Authors: Taminiau, Timothé Massart, Estelle Grapiglia, Geovani Nunes

Subject Terms: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2502.07435

Machine Learning Model Training Acceleration and Optimization Methods for Large-scale Datasets

Authors: Li Xiao Hongcai Feng Tianheng Pan et al.

Source: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). :1-7

Research on real-time trajectory optimization methods for stratospheric airships based on deep learning

Authors: Tianshu Wang Zhiqiang Peng Quanbao Wang

Source: Aerospace Systems. 7:771-789

A survey of contextual optimization methods for decision-making under uncertainty

Authors: Utsav Sadana Abhilash Chenreddy Erick Delage et al.

Source: European Journal of Operational Research. 320:271-289

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2306.10374
https://publications.polymtl.ca/58046/
https://doi.org/10.1016/j.ejor.2024.03.020