Výsledky vyhledávání - Multiple gradient descent algorithm Common descent vector

A stochastic multiple gradient descent algorithm

Autoři: Quentin Mercier Fabrice Poirion Jean-Antoine Désidéri a další

Přispěvatelé: Quentin Mercier Fabrice Poirion Jean-Antoine Désidéri a další

Zdroj: European Journal of Operational Research. 271:808-817

Témata: MULTIPLE GRADIENT DESCENT ALGORITHM, COMMON DESCENT VECTOR, STOCHASTIC GRADIENT ALGORITHM, INCERTITUDE, MULTIOBJECTIVE STOCHASTIC OPTIMIZATION, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, MULTIPLE OBJECTIVE PROGRAMMING, 02 engineering and technology, [SPI.MAT] Engineering Sciences [physics]/Materials, OPTIMISATION MULTIOBJECTIF

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-01833165/file/DMAS18110.1529998080_postprint.pdf
https://hal.science/hal-01833165v1
https://hal.science/hal-01833165v1/document
https://doi.org/10.1016/j.ejor.2018.05.064
https://hal.archives-ouvertes.fr/hal-01833165/document
https://doi.org/10.1016/j.ejor.2018.05.064
https://dblp.uni-trier.de/db/journals/eor/eor271.html#MercierPD18
https://ideas.repec.org/a/eee/ejores/v271y2018i3p808-817.html
https://hal.archives-ouvertes.fr/hal-01833165
https://www.sciencedirect.com/science/article/pii/S0377221718304831

Descent algorithm for nonsmooth stochastic multiobjective optimization.

Autoři: Poirion, Fabrice Mercier, Quentin Désidéri, Jean-Antoine

Zdroj: Computational Optimization & Applications; Nov2017, Vol. 68 Issue 2, p317-331, 15p

Témata: STOCHASTIC analysis, MULTIPLE criteria decision making, MATHEMATICAL optimization, HILBERT space, EIGENFREQUENCIES

Multiple-gradient descent algorithm (MGDA) for multiobjective optimization

Alternate Title: Algorithme de descente à gradients multiples pour lʼoptimisation multiobjectif

Autoři: Désidéri, Jean-Antoine¹ Jean-Antoine.Desideri@inria.fr

Zdroj: Comptes Rendus. Mathématique. Mar2012, Vol. 350 Issue 5/6, p313-318. 6p.

Témata: *CONJUGATE gradient methods, *ALGORITHMS, *MATHEMATICAL optimization, *SMOOTHNESS of functions, *PARETO optimum, *METHOD of steepest descent (Numerical analysis), *STOCHASTIC convergence, *MATHEMATICAL analysis

Faster Convergence With Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning Over Wireless Networks

Autoři: Pérez Herrera, Daniel Chen, Zheng Larsson, Erik G

Zdroj: IEEE Open Journal of the Communications Society. 6:1497-1511

Témata: Convergence, Stochastic processes, Vectors, Training, Topology, Optimization, Costs, Symmetric matrices, Network topology, Laplace equations, Decentralized machine learning, D-SGD, wireless networks, broadcast, node scheduling

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-212401
https://doi.org/10.1109/OJCOMS.2025.3540133

MARG Attitude Estimation Using Gradient-Descent Linear Kalman Filter.

Autoři: Wu, Jin¹ (AUTHOR) jin_wu_uestc@hotmail.com

Zdroj: IEEE Transactions on Automation Science & Engineering. Oct2020, Vol. 17 Issue 4, p1777-1790. 14p.

Témata: *KALMAN filtering, *ATTITUDE (Psychology), *QUATERNIONS, *SENSOR arrays, *ALGORITHMS, *LEAST squares

Detecting malicious nodes via gradient descent and support vector machine in Internet of Things.

Autoři: Liu, Liang Yang, Jingxiu Meng, Weizhi

Zdroj: Computers & Electrical Engineering. Jul2019, Vol. 77, p339-353. 15p.

Témata: *SUPPORT vector machines, *INTERNET of things, *K-nearest neighbor classification

Non-convex multiobjective optimization under uncertainty: a descent algorithm. Application to sandwich plate design and reliability.

Autoři: Mercier, Q. Poirion, F. Désidéri, J. A.

Zdroj: Engineering Optimization; May2019, Vol. 51 Issue 5, p733-752, 20p

Témata: SANDWICH construction (Materials), ALGORITHMS, UNCERTAINTY, RELIABILITY in engineering

Gradient-Based Optimization for Intent Conflict Resolution.

Autoři: Cinemre, Idris Mehmood, Kashif Kralevska, Katina a další

Zdroj: Electronics (2079-9292); Mar2024, Vol. 13 Issue 5, p864, 13p

Témata: CONFLICT management, STOCHASTIC approximation, CONFIGURATION management, ALGORITHMS

ConceptVoid: Precision Multi-Concept Erasure in Generative Video Diffusion.

Autoři: Huang, Zhongbin Jin, Xingjia Wu, Cunkang a další

Zdroj: Mathematics (2227-7390); Aug2025, Vol. 13 Issue 16, p2652, 15p

Témata: MULTI-objective optimization, PROBABILISTIC generative models, MATHEMATICAL optimization

Improving the adversarial transferability with relational graphs ensemble adversarial attack.

Autoři: Jiatian Pi Chaoyang Luo Fen Xia a další

Zdroj: Frontiers in Neuroscience; 2/1/2023, Vol. 17, p1-13, 13p

Témata: MATRICES (Mathematics), ALGORITHMS

Optimisation multicritère sous incertitudes : un algorithme de descente stochastique

Multiobjective optimization under uncertainty : a stochastic descent algorithm

Autoři: Mercier, Quentin

Thesis Advisors: Côte d'Azur, Désidéri, Jean-Antoine, Poirion, Fabrice

Témata: Optimisation, Multiobjectif, Stochastique, Vecteur de descente, Gradient, Sous-différentielle, Pareto, Optimization, Multiobjective, Stochastic, Descent vector, Subdifferential

Dostupnost: http://www.theses.fr/2018AZUR4076/document

Multiobjective optimization under uncertainty : a stochastic descent algorithm

Autoři: Mercier, Quentin STAR, ABES

Přispěvatelé: Mercier, Quentin STAR, ABES

Témata: Optimization, Descent vector, [MATH.MATH-FA] Mathematics [math]/Functional Analysis [math.FA], Sous-différentielle, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SPI.MAT] Engineering Sciences [physics]/Materials, Pareto, Stochastic, Stochastique, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Optimisation, Gradient, Multiobjective, Vecteur de descente, [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP], Multiobjectif, Subdifferential

Popis souboru: application/pdf

Přístupová URL adresa: https://theses.hal.science/tel-02063322v3

A New Algorithm for Shared Simultaneous Learning of Alzheimer's Disease Progression

Autoři: Mutha, Pushkar

Témata: University of Pittsburgh ETD, PeerReviewed

URL: http://d-scholarship.pitt.edu/41452/1/PushkarMutha_ETDfinal_2021.pdf
http://worldcat.org/search?q=on:PIT+http://d-scholarship.pitt.edu/cgi/oai2+DCG_ENTIRE_REPOSITORY+CNTCOLL
http://d-scholarship.pitt.edu/41452/
http://d-scholarship.pitt.edu/41452

Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig.

Autoři: Basak, Jayanta Kumar Okyere, Frank Gyan Arulmozhi, Elanchezhian a další

Zdroj: Journal of Applied Animal Research. Dec2020, Vol. 48 Issue 1, p207-219. 13p.

Témata: Body temperature, Surface temperature, Standard deviations, Swine

Deep learning framework for vertebral heart size and cardiothoracic ratio estimation in dogs and cats using thoracic radiographs.

Autoři: Mekonnen, Habtamu Tilahun Puig, Núria Elson, Alejandro a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-16. 16p.

Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil.

Autoři: Minaz, Mert Alparslan, Cem Er, Akif

Zdroj: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Multi-omics integration reveals Chr1 associated QTL mediating backfat thickness in pigs.

Autoři: Yu, Naibiao Cui, Dengshuai Li, Chenyu a další

Zdroj: Journal of Animal Science & Biotechnology. 10/20/2025, Vol. 16 Issue 1, p1-17. 17p.

TBESO-BP: an improved regression model for predicting subclinical mastitis.

Autoři: Han, Kexin Dai, Yongqiang Liu, Huan a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-14. 14p.

Estimating Heritabilities and Breeding Values for Real and Predicted Milk Production in Holstein Dairy Cows with Artificial Neural Network and Multiple Linear Regression Models.

Autoři: Nosrati, M. Hafezian, S. H. Gholizadeh, M.

Zdroj: Iranian Journal of Applied Animal Science. Mar2021, Vol. 11 Issue 1, p67-78. 12p.

Témata: Lactation, Artificial neural networks, Milk yield, Dairy cattle, Regression analysis, Animal breeding

Classification of digital dermatitis with image processing and machine learning methods.

Autoři: Yiğitarslan, Kürşad Kırbaş, İsmail

Zdroj: Veterinary Journal of Mehmet Akif Ersoy University. Dec2022, Vol. 7 Issue 3, p195-200. 6p.

Témata: Skin inflammation, Image processing, Machine learning, Dairy cattle, Supervised learning