Výsledky vyhledávání - Difference of convex functions algorithms

Initialization of the difference of convex functions optimization algorithm for nonconvex quadratic problems

Autoři: Achour, Saadi Rahmoune, Abdelaziz Ouchenane, Djamel a další

Zdroj: Filomat, 2024 Jan 01. 38(3), 1069-1083.

Přístupová URL adresa: https://www.jstor.org/stable/27387029

Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming: Stochastic difference-of-convex-functions algorithms for nonconvex programming

Autoři: Hoai An Le Thi Van Ngai Huynh Tao Pham Dinh a další

Přispěvatelé: Hoai An Le Thi Van Ngai Huynh Tao Pham Dinh a další

Zdroj: SIAM Journal on Optimization. 32:2263-2293

Témata: stochastic DC function, stochastic DCA, Applications of functional analysis in optimization, convex analysis, mathematical programming, economics, Methods of reduced gradient type, 0211 other engineering and technologies, Stochastic programming, subdifferential, Stochastic DC program, Stochastic DCA, 02 engineering and technology, stochastic DC program, Nonconvex programming, global optimization, Numerical methods based on necessary conditions, DC programs, DC program, [INFO]Computer Science [cs], Stochastic DC function, [MATH]Mathematics [math], DCA, Subdifferential

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7594343
https://doi.org/10.1137/20m1385706

Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model

Autoři: Shen, Xinhua Sun, Hongpeng Tai, Xuecheng

Témata: Mathematics - Numerical Analysis, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2303.14495

Smoothing techniques and difference of convex functions algorithms for image reconstructions

Autoři: Nguyen, Mau Nam An, Le Thi Hoai Giles, Daniel a další

Zdroj: Optimization. 69:1601-1633

Témata: 0211 other engineering and technologies, 02 engineering and technology, Mathematics

Přístupová URL adresa: https://www.scilit.net/article/675b5e628e78fa77e299fefcc6464c8c?action=show-references
https://www.tandfonline.com/doi/full/10.1080/02331934.2019.1648467
https://pdxscholar.library.pdx.edu/mth_fac/234/

Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model

Autoři: Hoai An Le Thi Tao Pham Dinh Le Thi, Hoai An a další

Přispěvatelé: Hoai An Le Thi Tao Pham Dinh Le Thi, Hoai An a další

Zdroj: Optimization and Engineering. 18:873-906

Témata: 0211 other engineering and technologies, [INFO]Computer Science [cs], 02 engineering and technology, [INFO] Computer Science [cs]

Přístupová URL adresa: https://link.springer.com/article/10.1007/s11081-017-9359-0

Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms

Autoři: Hoai An Le Thi Xuan Thanh Vo Tao Pham Dinh a další

Přispěvatelé: Hoai An Le Thi Xuan Thanh Vo Tao Pham Dinh a další

Zdroj: Neural Networks. 59:36-50

Témata: Leukemia, Support Vector Machine, Data Interpretation, Statistical, Linear Models, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Humans, [INFO]Computer Science [cs], 02 engineering and technology, [INFO] Computer Science [cs], Microarray Analysis, Weather, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/25064040
https://hal.univ-lorraine.fr/hal-01636653v1
https://doi.org/10.1016/j.neunet.2014.06.011

Learning sparse classifiers with difference of convex functions algorithms

Autoři: Ong, Cheng Soon Le Thi, Hoai An

Přispěvatelé: Ong, Cheng Soon Le Thi, Hoai An

Zdroj: Optimization Methods and Software. 28:830-854

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO] Computer Science [cs]

Přístupová URL adresa: https://hal.univ-lorraine.fr/hal-01636678
http://www.ong-home.my/papers/ong12dca-sparse.pdf
https://dblp.uni-trier.de/db/journals/oms/oms28.html#OngA13
https://dl.acm.org/doi/10.1080/10556788.2011.652630
https://www.tandfonline.com/doi/full/10.1080/10556788.2011.652630

A class of new subspace minimization conjugate gradient algorithms for unconstrained optimization.

Autoři: Zhang, Jiahao Li, Kai Cheng, Wanyou

Zdroj: International Journal of Computer Mathematics. Nov2025, Vol. 102 Issue 11, p1738-1757. 20p.

Témata: Conjugate gradient methods, Convex functions, Mathematical models, Mathematical optimization, Global optimization, Numerical calculations

Learning Gaussian–Bernoulli RBMs Using Difference of Convex Functions Optimization.

Autoři: Upadhya, Vidyadhar Sastry, P. S.

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Oct2022, Vol. 33 Issue 10, p5728-5738, 11p

Témata: CONVEX functions, MACHINE learning, BOLTZMANN machine, PROBABILISTIC generative models, STOCHASTIC programming, APPROXIMATION algorithms

Sparse Signal Recovery by Difference of Convex Functions Algorithms

Autoři: Le Thi, Hoai An Nguyen Thi, Bich Thuy Le, Hoai Minh

Přispěvatelé: Le Thi, Hoai An Nguyen Thi, Bich Thuy Le, Hoai Minh

Zdroj: Lecture Notes in Computer Science ISBN: 9783642365423

Témata: [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

Neuromuscular function assessment through EMG in using hybrid learning in real-time

Autoři: Shirzadi, Mehdi

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial

Thesis Advisors: Mañanas Villanueva, Miguel Ángel, Marateb, Hamid Reza

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Àrees temàtiques de la UPC::Enginyeria biomèdica, 616 - Patologia. Medicina clínica. Oncologia

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/694118
https://dx.doi.org/10.5821/dissertation-2117-427134

Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data

Autoři: Tran, Bach UL, Thèses

Přispěvatelé: Tran, Bach UL, Thèses

Témata: Apprentissage non supervisé, Apprentissage en profondeur, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Apprentissage automatique, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Classification, Clustering, Machine Learning, Deep Learning, Non-convex optimization, Programmation DC et DCA, Classification supervisée, Optimisation non-convexe, DC Programming and DCA

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.univ-lorraine.fr/tel-02557281v1

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework

Autoři: Jinan Li Benying Tan Yang Qin a další

Zdroj: Sensors, Vol 25, Iss 18, p 5696 (2025)

Témata: device-free localization, sparse representation, transform learning, Springback penalty, difference of convex functions algorithm, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/18/5696; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/2e8a261ace88404fa63033b29d6a4ee2

Smoothing techniques and difference of convex functions algorithms for image reconstructions.

Autoři: Mau Nam, Nguyen Hoai An, Le Thi Giles, Daniel a další

Zdroj: Optimization; Jul-Aug2020, Vol. 69 Issue 7/8, p1601-1633, 33p

Témata: IMAGE reconstruction algorithms, CONVEX functions, IMAGE reconstruction

Difference of two normsregularizations for Q-Lasso.

Autoři: Moudafi, Abdellatif¹ abdellatif.moudafi@univ-amu.fr

Zdroj: Applied Computing & Informatics. 2021, Vol. 17 Issue 1, p79-89. 11p.

Témata: Algorithms, Length measurement, Convex functions, Monotone operators

A Universal Approximation Result for Difference of Log-Sum-Exp Neural Networks.

Autoři: Calafiore, Giuseppe C. Gaubert, Stephane Possieri, Corrado

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Dec2020, Vol. 31 Issue 12, p5603-5612, 10p

Témata: FEEDFORWARD neural networks, TYPE 2 diabetes, CONVEX functions, CONTINUOUS functions, ALGORITHMS

Iterative Reweighted Minimization for Generalized Norm/Quasi-Norm Difference Regularized Unconstrained Nonlinear Programming

Autoři: Yi Cen Linna Zhang Ke Wang a další

Zdroj: IEEE Access, Vol 7, Pp 153102-153122 (2019)

Témata: Difference of convex/nonconvex functions algorithm, iterative reweighted lₜ minimization, lₚ–q-minimization, lₚ–q-null space property, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8877712/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/808b2f083c874bd2b9005fae376a7254

Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm.

Autoři: Zhang B Zhu G Zhu Z a další

Zdroj: IEEE transactions on cybernetics [IEEE Trans Cybern] 2024 Apr; Vol. 54 (4), pp. 2257-2270. Date of Electronic Publication: 2024 Mar 18.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101609393 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2275 (Electronic) Linking ISSN: 21682267 NLM ISO Abbreviation: IEEE Trans Cybern Subsets: PubMed not MEDLINE; MEDLINE

Block clustering based on difference of convex functions (DC) programming and DC algorithms.

Autoři: Le HM Le Thi HA Dinh TP a další

Zdroj: Neural computation [Neural Comput] 2013 Oct; Vol. 25 (10), pp. 2776-807. Date of Electronic Publication: 2013 Jun 18.

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-888X (Electronic) Linking ISSN: 08997667 NLM ISO Abbreviation: Neural Comput Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Cluster Analysis*, Artificial Intelligence ; Brain Neoplasms/pathology ; Computer Simulation ; Databases, Factual ; Fuzzy Logic ; Humans ; Lung Neoplasms/pathology ; Neoplasms/pathology ; Problem Solving ; Software

A New Nonconvex Sparse Recovery Method for Compressive Sensing

Autoři: Zhou, Zhiyong Yu, Jun

Zdroj: Frontiers in Applied Mathematics and Statistics. 5:1-11

Témata: compressive sensing, nonconvex sparse recovery, iteratively reweighted least squares, difference of convex functions, q-ratio constrained minimal singular values, Signal Processing, signalbehandling, matematisk statistik, Mathematical Statistics

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-157346
https://doi.org/10.3389/fams.2019.00014