Suchergebnisse - "Convex optimization algorithms"
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Autoren:
Quelle: Artificial Intelligence Review. 54:4771-4797
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computation time, SVM, Machine Learning (stat.ML), 02 engineering and technology, Learning algorithms, 01 natural sciences, Classification algorithm, Simulated annealing, Machine Learning (cs.LG), Empirical evaluations, Statistics - Machine Learning, Non-convex optimization algorithms, Random search, 0202 electrical engineering, electronic engineering, information engineering, Grid search, 0101 mathematics, Bayesian optimization, Hyperparameters, Parzen estimators, Support vector machines, Classification (of information), Search Algorithms, Convex optimization, Nonconvex optimization, Computational effort, Particle swarm optimization (PSO)
Zugangs-URL: http://arxiv.org/pdf/2008.11655
http://arxiv.org/abs/2008.11655
https://link.springer.com/article/10.1007/s10462-021-10011-5
https://doi.org/10.1007/s10462-021-10011-5
https://dblp.uni-trier.de/db/journals/air/air54.html#WainerF21
https://repositorio.upch.edu.pe/handle/20.500.12866/9838?show=full&locale-attribute=es -
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Autoren: et al.
Quelle: IEEE Transactions on Network Science and Engineering
Schlagwörter: Optimization, 0209 industrial biotechnology, Stochastic systems, Sub-gradient algorithm, Consensus strategies, Complex networks, Communication matrixes, 02 engineering and technology, Convex optimization algorithms, Consensus strategy, 7. Clean energy, Distributed processing, Convex optimization, Performance lower bounds, Online learning, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, Diffusion strategies
Dateibeschreibung: application/pdf
Zugangs-URL: https://experts.illinois.edu/en/publications/stochastic-subgradient-
algorithms -for-strongly-convex -optimizatio
https://www.computer.org/csdl/trans/tn/2017/04/07944588.html
https://ieeexplore.ieee.org/document/7944588/
https://dblp.uni-trier.de/db/journals/corr/corr1409.html#VanliSK14a
https://arxiv.org/abs/1409.8277
https://hdl.handle.net/11693/37101
https://aperta.ulakbim.gov.tr/record/50251 -
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Autoren:
Quelle: Chaos, Solitons & Fractals. 26:805-812
Schlagwörter: Control problems for functional-differential equations, 0209 industrial biotechnology, Control/observation systems governed by functional-differential equations, Stability theory of functional-differential equations, convex optimization algorithms, asymptotic stabilization, 0103 physical sciences, neutral systems, 02 engineering and technology, Input-output approaches in control theory, Lyapunov functionals, 01 natural sciences, Neutral functional-differential equations
Dateibeschreibung: application/xml
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Autoren: Parlakçi, M.N.A.
Schlagwörter: Cone Complementary Method, Delay Partitioning, Interval Time-Varying Delay, Linear Matrix İnequality, Time Delay Systems, Convex Optimization, Delay Control Systems, Linear Matrix İnequalities, Lyapunov Functions, Numerical Methods, System Stability, Time Delay, Time Varying Control Systems, Complementary Methods, Conservatism Reductions, Convex Optimization Algorithms, Delay Dependent Stability Criterion, Interval Time-Varying Delays, Lyapunov-Krasovskii Functionals, Time-Delay Systems, Stability Criteria
Relation: IFAC Proceedings Volumes (IFAC-PapersOnline); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11411/6526; 100; PART 1; N/A; 96
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Actuators and sensors, Automotive structures, Convex optimization algorithms, Lead zirconate titanate, Linear quadratic regulator, Optimal placement of sensors, Piezoelectric actuators and sensors, Vibration attenuation, Aircraft control, Algorithms, Convex optimization, Decay (organic), Flexible structures, Linear matrix inequalities, Optimization, Piezoelectric ceramics, Plates (structural components), Semiconducting lead compounds, Sensors, Structural design, Vibrations (mechanical), Piezoelectric actuators
Relation: 13th International Congress on Sound and Vibration 2006, ICSV 2006; http://hdl.handle.net/11449/69408; http://acervodigital.unesp.br/handle/11449/69408
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Autoren:
Quelle: 2013 3rd Australian Control Conference, AUCC 2013. :6697239
Schlagwörter: Alternating direction method of multipliers, Conditional probabilities, Convex optimization algorithms, Linear programming problem, Markov Decision Processes, Sparsity patterns, Sparsity structure, State probability
Dateibeschreibung: print
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