Suchergebnisse - Programmation DC (Difference of Convex functions) et DCA (DC Algorithms)

Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA

Learning with sparsity and uncertainty by Difference of Convex functions optimization

Autoren: Vo, Xuan Thanh

Thesis Advisors: Université de Lorraine, Lê Thi, Hoai An

Schlagwörter: Optimisation robuste, Programmation DC, DCA, Parcimonie, Factorisation en matrices non-Négatives, Apprentissage de dictionnaire, Robust optimization, DC programming, Sparsity, Nonnegative matrix factorization, Dictionary learning, 004.015 1, 511.8

Verfügbarkeit: http://www.theses.fr/2015LORR0193/document

Advanced machine learning techniques based on DCA and applications to predictive maintenance ; Techniques avancées d'apprentissage automatique basées sur DCA et applications à la maintenance prédictive

Autoren: Luu, Hoang Phuc Hau Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM) Université de Lorraine (UL) et al.

Weitere Verfasser: Luu, Hoang Phuc Hau Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM) Université de Lorraine (UL) et al.

Quelle: https://hal.univ-lorraine.fr/tel-04060717 ; Computer Science [cs]. Université de Lorraine, 2022. English. ⟨NNT : 2022LORR0139⟩.

Schlagwörter: Predictive Maintenance, Deep Learning, DC (Difference of Convex functions) programming and DCA (DC Algorithms), Non-Convex optimization, Maintenance prédictive, Apprentissage profond, Programmation DC (Difference of Convex functions) et DCA (DC Algorithms), Optimisation non convexe, [INFO]Computer Science [cs], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: NNT: 2022LORR0139

Verfügbarkeit: https://hal.univ-lorraine.fr/tel-04060717
https://hal.univ-lorraine.fr/tel-04060717v1/document
https://hal.univ-lorraine.fr/tel-04060717v1/file/DDOC_T_2022_0139_LUU.pdf

Techniques avancées d'apprentissage automatique basées sur DCA et applications à la maintenance prédictive ; Advanced machine learning techniques based on DCA and applications to predictive maintenance

Autoren: Luu, Hoang Phuc Hau Université de Lorraine Lê Thi, Hoai An et al.

Weitere Verfasser: Luu, Hoang Phuc Hau Université de Lorraine Lê Thi, Hoai An et al.

Schlagwörter: Maintenance Prédictive, Apprentissage profond, Programmation DC (Difference of Convex functions) et DCA (DC Algorithms), Optimisation non convexe, Predictive Maintenance, Deep Learning, DC (Difference of Convex functions) programming and DCA (DC Algorithms), Non-Convex optimization, 006.31, 620.004 6, 519.6

Relation: http://www.theses.fr/2022LORR0139/document

Verfügbarkeit: http://www.theses.fr/2022LORR0139/document

Advanced machine learning techniques based on DCA and applications to predictive maintenance

Autoren: Luu, Hoang Phuc Hau UL, Thèses

Weitere Verfasser: Luu, Hoang Phuc Hau UL, Thèses

Schlagwörter: DC (Difference of Convex functions) programming and DCA (DC Algorithms), Non-Convex optimization, Maintenance prédictive, Apprentissage profond, Deep Learning, Optimisation non convexe, Predictive Maintenance, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Programmation DC (Difference of Convex functions) et DCA (DC Algorithms)

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.univ-lorraine.fr/tel-04060717v1

Learning with sparsity and uncertainty by Difference of Convex functions optimization ; Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA

Autoren: Vo, Xuan Thanh Laboratoire d'Informatique Théorique et Appliquée (LITA) Université de Lorraine (UL) et al.

Weitere Verfasser: Vo, Xuan Thanh Laboratoire d'Informatique Théorique et Appliquée (LITA) Université de Lorraine (UL) et al.

Quelle: https://hal.univ-lorraine.fr/tel-01754450 ; Other [cs.OH]. Université de Lorraine, 2015. English. ⟨NNT : 2015LORR0193⟩.

Schlagwörter: Robust optimization, DC programming, DCA, Sparsity, Nonnegative matrix factorization, dictionary learning, Optimisation robuste, Programmation DC, Parcimonie, Factorisation en matrices non-négatives, Apprentissage de dictionnaire, Programmation (mathématiques), Optimisation mathématique, Matrices nonnégatives, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Relation: NNT: 2015LORR0193

Verfügbarkeit: https://hal.univ-lorraine.fr/tel-01754450
https://hal.univ-lorraine.fr/tel-01754450v1/document
https://hal.univ-lorraine.fr/tel-01754450v1/file/DDOC_T_2015_0193_VO.pdf

Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA ; Learning with sparsity and uncertainty by Difference of Convex functions optimization

Autoren: Vo, Xuan Thanh Université de Lorraine Lê Thi, Hoai An

Weitere Verfasser: Vo, Xuan Thanh Université de Lorraine Lê Thi, Hoai An

Schlagwörter: Optimisation robuste, Programmation DC, DCA, Parcimonie, Factorisation en matrices non-Négatives, Apprentissage de dictionnaire, Robust optimization, DC programming, Sparsity, Nonnegative matrix factorization, Dictionary learning, 004.015 1, 511.8

Relation: http://www.theses.fr/2015LORR0193/document

Verfügbarkeit: http://www.theses.fr/2015LORR0193/document

DC programming and DCA: thirty years of developments.

Autoren: Le Thi, Hoai An Pham Dinh, Tao

Quelle: Mathematical Programming; May2018, Vol. 169 Issue 1, p5-68, 64p

Schlagwörter: CONVEX functions, CONVEX programming, ALGORITHMS, MATHEMATICAL programming, ANNIVERSARIES

DC programming and DCA for supply chain and production management: state-of-the-art models and methods.

Autoren: Le Thi, Hoai An

Quelle: International Journal of Production Research; Oct2020, Vol. 58 Issue 20, p6078-6114, 37p, 1 Diagram, 1 Chart

Schlagwörter: SUPPLY chain management, NONCONVEX programming, ALGORITHMS, SUPPLY chains, CONVEX functions

La programmation DC et DCA pour certaines classes de problèmes dans les systèmes de communication sans fil

DC programming and DCA for some classes of problems in Wireless Communication Systems

Autoren: Tran, Thi Thuy

Thesis Advisors: Université de Lorraine, Lê Thi, Hoai An, Gély, Alain

Schlagwörter: Systèmes de communication, Optimisation, Programmation DC, Programmation DCA, Wireless communication, Optimization, DC programming, DCA programming, 005.8, 519.7

Verfügbarkeit: http://www.theses.fr/2017LORR0044/document

Algorithmes basés sur la programmation DC et DCA pour l'apprentissage avec la parcimonie et l'apprentissage stochastique en grande dimension

DCA based algorithms for learning with sparsity in high dimensional setting and stochastical learning

Autoren: Phan, Duy Nhat

Thesis Advisors: Université de Lorraine, Lê Thi, Hoai An

Schlagwörter: Programmation DC, Programmation DCA, Parcimonie, Analyse discriminante linéaire, Estimation de matrice de covariance, Apprentissage stochastique, DC (Difference of Convex functions) Programming, DCA (DC Algorithms) Programming, Parsimony, Linear discriminant analysis, Estimation of covariance matrix, Stochastic learning, 519.7, 006.31

Verfügbarkeit: http://www.theses.fr/2016LORR0235/document

Techniques avancées d'apprentissage automatique basées sur la programmation DC et DCA

Advanced machine learning techniques based on DC programming and DCA

Autoren: Ho, Vinh Thanh

Thesis Advisors: Université de Lorraine, Lê Thi, Hoai An, Zidna, Ahmed

Schlagwörter: Apprentissage automatique, Programmation DC, DCA, Apprentissage par renforcement, Optimisation non-convexe, Apprentissage en ligne, Machine learning, DC programming, Reinforcement learning, Nonconvex optimization, Online learning, 006.31

Verfügbarkeit: http://www.theses.fr/2017LORR0289/document

Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels.

Autoren: Akoa, François Bertrand

Quelle: IEEE Transactions on Neural Networks; Nov2008, Vol. 19 Issue 11, p1854-1872, 19p

Schlagwörter: ALGORITHMS, KERNEL functions, MATHEMATICAL optimization, MATHEMATICAL decomposition, DECOMPOSITION method, SYSTEM analysis, MATHEMATICAL programming

La programmation DC et DCA pour certaines classes de problèmes en apprentissage et fouille de donées [i.e. données]

DC programming and DCA for some classes of problems in machine learning and data mining

Autoren: Nguyen, Manh Cuong

Thesis Advisors: Université de Lorraine, Lê Thi, Hoai An, Conan-Guez, Brieuc

Schlagwörter: Classification de données, Fouille de données, Apprentissage, Optimisation, Programmations DC et DCA, 025.04, 519.7

Verfügbarkeit: http://www.theses.fr/2014LORR0080/document

ALGORITHMS FOR SOLVING OPTIMIZATION PROGRAMS INVOLVING DIFFERENCE OF CONVEX FUNCTIONS.

Autoren: BOUFI, KARIMA FADIL, ABDESSAMAD ROUBI, AHMED

Quelle: Applied Set-Valued Analysis & Optimization; 2025, Vol. 7 Issue 1, p71-91, 21p

Schlagwörter: CONSTRAINED optimization, CONVEX functions, NUMERICAL analysis, ALGORITHMS, MATHEMATICAL optimization

Learning with sparsity and uncertainty by Difference of Convex functions optimization

Autoren: Vo, Xuan Thanh UL, Thèses

Weitere Verfasser: Vo, Xuan Thanh UL, Thèses

Schlagwörter: DC programming, Matrices nonnégatives, Parcimonie, Optimisation robuste, Programmation (mathématiques), Nonnegative matrix factorization, Factorisation en matrices non-négatives, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Programmation DC, Apprentissage de dictionnaire, Optimisation mathématique, Robust optimization, dictionary learning, DCA, Sparsity

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.univ-lorraine.fr/tel-01754450v1

Efficient DC programming approaches for the asymmetric eigenvalue complementarity problem.

Autoren: Niu, Y.S. Pham Dinh, T. Le Thi, H.A. et al.

Quelle: Optimization Methods & Software; Aug2013, Vol. 28 Issue 4, p812-829, 18p, 3 Charts

Schlagwörter: CONVEX functions, EIGENVALUES, NONLINEAR programming, CONVEX programming, ALGORITHMS, NUMERICAL analysis, PROBLEM solving

Properties of two DC algorithms in quadratic programming.

Autoren: Hoai Le Thi Tao Pham Dinh Nguyen Yen

Quelle: Journal of Global Optimization; Mar2011, Vol. 49 Issue 3, p481-495, 15p

Schlagwörter: QUADRATIC programming, ALGORITHMS, STOCHASTIC convergence, CONVEX functions, NONCONVEX programming, MATHEMATICAL sequences

A variable metric and nesterov extrapolated proximal DCA with backtracking for a composite DC program.

Autoren: You, Yu Niu, Yi-Shuai

Quelle: Journal of Industrial & Management Optimization; Oct2023, Vol. 19 Issue 10, p1-19, 19p

Schlagwörter: SMOOTHNESS of functions, CONTINUOUS functions, CONVEX functions, CONCAVE functions, DATA science, LOGISTIC regression analysis

ON DIFFERENCE-OF-SOS AND DIFFERENCE-OF-CONVEX-SOS DECOMPOSITIONS FOR POLYNOMIALS.

Autoren: YI-SHUAI NIU HOAI AN LE THI DINH TAO PHAM

Quelle: SIAM Journal on Optimization; 2024, Vol. 34 Issue 2, p1852-1878, 27p

Schlagwörter: INTERIOR-point methods, POLYNOMIALS, POLYNOMIAL time algorithms

A difference-of-convex programming approach with parallel branch-and-bound for sentence compression via a hybrid extractive model.

Autoren: Niu, Yi-Shuai You, Yu Xu, Wenxu et al.

Quelle: Optimization Letters; Oct2021, Vol. 15 Issue 7, p2407-2432, 26p