Suchergebnisse - "Difference of convex functions programming"
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Autoren:
Quelle: IEEE Access, Vol 12, Pp 155696-155717 (2024)
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Computational Optimization and Applications. 86:163-197
Schlagwörter: Difference of convex functions constraints, Difference of convex functions algorithm, 90C30, [INFO]Computer Science [cs], Difference of convex functions programming, Mathematical program with linear complementarity constraints, [MATH] Mathematics [math], 90C33, [MATH]Mathematics [math], [INFO] Computer Science [cs], Penalty function, 90C90 (Mathematics Subject Classification), 90C26
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Discrete Applied Mathematics. 156:325-338
Schlagwörter: 0209 industrial biotechnology, Exact penalty, Applied Mathematics, 0211 other engineering and technologies, Disjunctive constraints, 02 engineering and technology, [INFO] Computer Science [cs], DC (Difference of Convex functions) programming, Reformulation, Mixed 0-1 concave programming, Concave programming, Discrete Mathematics and Combinatorics, [INFO]Computer Science [cs], Concave cost supply problem, DCA
Zugangs-URL: https://hal.univ-lorraine.fr/hal-01636752v1
https://doi.org/10.1016/j.dam.2007.03.024
https://www.sciencedirect.com/science/article/pii/S0166218X07001345
https://dblp.uni-trier.de/db/journals/dam/dam156.html#AnT08
https://hal.univ-lorraine.fr/hal-01636752
http://dblp.uni-trier.de/db/journals/dam/dam156.html#AnT08
https://hal.archives-ouvertes.fr/hal-01636752
https://www.sciencedirect.com/science/article/abs/pii/S0166218X07001345 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: https://hal.univ-lorraine.fr/tel-04717814 ; Cryptography and Security [cs.CR]. Université de Lorraine, 2023. English. ⟨NNT : 2023LORR0374⟩.
Schlagwörter: Centralized group key management, Merkle tree, Blockchain transaction, Autoencoder, DC (Difference of Convex functions) programming, DCA (DC Algorithms), Gestion centralisée des clés de groupe, Arbre de Merkle, Transaction de la blockchain, Programmation DC, DCA, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [MATH]Mathematics [math]
Relation: NNT: 2023LORR0374
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Autoren:
Weitere Verfasser:
Schlagwörter: Gestion centralisée des clés de groupe, Arbre de Merkle, Transaction de la blockchain, Autoencoder, Programmation DC, DCA, Centralized group key management, Merkle tree, Blockchain transaction, DC (Difference of Convex functions) programming, DCA (DC Algorithms), 005.824, 005.741
Verfügbarkeit: http://www.theses.fr/2023LORR0374/document
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Autoren: et al.
Weitere Verfasser: 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
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Autoren: et al.
Weitere Verfasser: 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
Verfügbarkeit: http://www.theses.fr/2022LORR0139/document
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Autoren:
Weitere Verfasser:
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
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: feature selection, SVMs, embedded methods, mathematical programming, difference of convex functions programming, non-convex optimisation
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 31 No. 1 (2017): Thirty-First AAAI Conference on Artificial Intelligence ; 2374-3468 ; 2159-5399
Schlagwörter: Indefinite Kernel Support Vector Machine, Difference of Convex Functions Programming, Kernel Method
Dateibeschreibung: application/pdf
Relation: https://ojs.aaai.org/index.php/AAAI/article/view/10889/10748; https://ojs.aaai.org/index.php/AAAI/article/view/10889
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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
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: https://theses.hal.science/tel-01496983 ; Statistics [math.ST]. Université de Lorraine, 2016. English. ⟨NNT : 2016LORR0235⟩.
Schlagwörter: DC (Difference of Convex functions) Programming, DCA (DC Algorithms) Programming, Parsimony, Linear discriminant analysis, Estimation of covariance matrix, Stochastic learning, Programmation DC, Programmation DCA, Parcimonie, Analyse discriminante linéaire, Estimation de matrice de covariance, Apprentissage stochastique, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Relation: NNT: 2016LORR0235
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Autoren:
Weitere Verfasser:
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
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Autoren: Yadav, A. (Animesh)
Thesis Advisors: Juntti, M. (Markku), Lilleberg, J. (Jorma)
Schlagwörter: cutoff rate, difference of convex functions programming, imperfect channel state information, linear precoder, multiple-input multiple-output, sequential quadratic programming, signal design, space-time codes, difference of convex functions -optimointi, epätäydellinen kanavatilatieto, lineaarinen esikoodaus, monitulo-monilähtö (MIMO), rajanopeus, sarjamuotoinen kvadraattinen ohjelmointi, signaalin suunnittelu, tila-aikakoodi
Dateibeschreibung: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/pissn/0355-3213; info:eu-repo/semantics/altIdentifier/eissn/1796-2226
Verfügbarkeit: http://urn.fi/urn:isbn:9789526202143
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Autoren:
Weitere Verfasser:
Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Linear discriminant analysis, DC (Difference of Convex functions) Programming, Parcimonie, Stochastic learning, DCA (DC Algorithms) Programming, Programmation DC, Analyse discriminante linéaire, Apprentissage stochastique, Estimation de matrice de covariance, Programmation DCA, Estimation of covariance matrix, Parsimony, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]
Dateibeschreibung: application/pdf
Zugangs-URL: https://theses.hal.science/tel-01496983v1
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Autoren:
Index Begriffe: cutoff rate, difference of convex functions programming, imperfect channel state information, linear precoder, multiple-input multiple-output, sequential quadratic programming, signal design, space-time codes, difference of convex functions -optimointi, epätäydellinen kanavatilatieto, lineaarinen esikoodaus, monitulo-monilähtö (MIMO), rajanopeus, sarjamuotoinen kvadraattinen ohjelmointi, signaalin suunnittelu, tila-aikakoodi, info:eu-repo/semantics/doctoralThesis, info:eu-repo/semantics/publishedVersion
URL:
http://urn.fi/urn:isbn:9789526202143
info:eu-repo/semantics/altIdentifier/pissn/0355-3213
info:eu-repo/semantics/altIdentifier/eissn/1796-2226
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