• Suche: "Learning and adaptive systems in artificial intelligence"

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21

Data Augmentation for the POD Formulation of the Parametric Laminar Incompressible Navier–Stokes Equations: Data augmentation for the formulation of the parametric laminar incompressible Navier-Stokes equations
Muixí Ballonga, Alba ; Zlotnik, Sergio ; Giacomini, Matteo ; et al.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Scientific machine learn... FOS: Computer and inform... Reduced-order models Data augmentation Incompressible Navier–St... reduced-order model …
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22

Flexible development and evaluation of machine‐learning‐supported optimal control and estimation methods via HILO‐MPC: Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
Johannes Pohlodek ; Bruno Morabito ; Christian Schlauch ; et al.
International Journal of Robust and Nonlinear Control. 35:2835-2859

open-source toolbox FOS: Computer and inform... 0209 industrial biotechn... estimation model predictive control Learning and adaptive sy... …
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23

High-dimensional stochastic control models for newsvendor problems and deep learning resolution
Jingtang Ma ; Shan Yang
Annals of Operations Research. 339:789-811

supply chain management Transportation, logistic... 05 social sciences Learning and adaptive sy... 0211 other engineering a... newsvendor models …
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24

Learning with centered reproducing kernels
Wang, Chendi ; Guo, Xin ; Wu, Qiang
Analysis and Applications. 22:507-534

centered reproducing ker... offset Learning and adaptive sy... Nonparametric regression... Hilbert spaces with repr... 0101 mathematics …
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25

FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
Chen, Leiming ; Zhang, Weishan ; Dong, Cihao ; et al.
COMPUTING AND INFORMATICS; Vol. 43 No. 1 (2024): Computing and Informatics; 1–37

FOS: Computer and inform... 68T05 Learning and adapt... Computer Science - Machi... Artificial Intelligence... Computer Science - Artif... Federated Learning, Mode... …
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26

Variable separated physics-informed neural networks based on adaptive weighted loss functions for blood flow model
Youqiong Liu ; Li Cai ; Yaping Chen ; et al.
Computers & Mathematics with Applications. 153:108-122

Physiological flow physics-informed neural... minmax algorithm Navier-Stokes equations... Learning and adaptive sy... blood flow model …
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27

A Data-Driven Reconstruction for Unstructured Finite Volume Method on Multi-Dimensional Compressible Flows: A data-driven reconstruction for unstructured finite volume method on multi-dimensional compressible flows
Joo, Jayeon ; Kim, Dongseok ; You, Hojun ; et al.
Communications in Computational Physics. 36:1307-1338

machine learning Finite volume methods fo... Learning and adaptive sy... tree model shock-capturing method Gas dynamics (general th... …
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28

Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning: Causal fairness analysis: a causal toolkit for fair machine learning
Plečko, Drago ; Bareinboim, Elias
Foundations and Trends® in Machine Learning. 17:304-589

Applications of statisti... Research exposition (mon... nonparametric methods Learning and adaptive sy... General nonlinear regres... graphical models …
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29

Distributed One-Pass Online AUC Maximization: Distributed one-pass online AUC maximization
Xin Liu ; Yu Pan ; Yu Ding ; et al.
Discrete Applied Mathematics. 341:322-336

Convex programming online learning Learning and adaptive sy... AUC optimization distributed optimization
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30

Graphmax for Text Generation: Graphmax for text generation
Liu, Bin ; Yin, Guosheng
Journal of Artificial Intelligence Research. 78:823-848

FOS: Computer and inform... Applications of mathemat... machine learning Computer Science - Compu... Natural language process... Learning and adaptive sy... …
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31

Query lower bounds for log-concave sampling
Sinho Chewi ; Jaume de Dios Pont ; Jerry Li ; et al.
2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS). :2139-2148

block Krylov FOS: Computer and inform... Computer Science - Machi... Analysis of algorithms a... Learning and adaptive sy... matrix-vector queries …
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32

CoolPINNs: A physics-informed neural network modeling of active cooling in vascular systems: CoolPINNs: a physics-informed neural network modeling of active cooling in vascular systems
Nimish V. Jagtap ; M.K. Mudunuru ; K.B. Nakshatrala
Applied Mathematical Modelling. 122:265-287

FOS: Computer and inform... Computer Science - Machi... scientific machine learn... inverse problems microvasculatures Learning and adaptive sy... …
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33

A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Tena, Felix ; Garnica, Oscar ; Lanchares, Juan ; et al.

Quantitative Biology - Q... Computer Science - Machi... 68T05 (Learning and adap...
Report
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34

Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation
Chen, Yifan ; Hosseini, Bamdad ; Owhadi, Houman ; et al.
Statistics and Computing. 35

FOS: Computer and inform... Inverse problems for PDE... Computer Science - Machi... Bayesian inference Probability (math.PR) Learning and adaptive sy... …
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35

Data‐driven methods for quantitative imaging: Data-driven methods for quantitative imaging
Guozhi Dong ; Moritz Flaschel ; Michael Hintermüller ; et al.
GAMM-Mitteilungen. 48

Convex programming Learning and adaptive sy... Nonsmooth analysis variational methods quantitative image recon... 02 engineering and techn... …
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36

On data-driven chance constraint learning for mixed-integer optimization problems
Antonio Alcántara ; Carlos Ruiz ; Agencia Estatal de Investigación (España)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

data-driven optimization FOS: Computer and inform... Constraint learning Learning and adaptive sy... 0211 other engineering a... Stochastic programming …
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37

An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations
Zhu, Jianqing ; He, Juncai ; Huang, Qiumei ; et al.
Computational Geosciences. 28:809-820

FOS: Computer and inform... MgNet Computer Science - Machi... Multigrid methods domain decomposition for... numerical partial differ... …
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38

Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond: Convolution hierarchical deep-learning neural networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
Ye Lu ; Hengyang Li ; Lei Zhang ; et al.
Computational Mechanics. 72:333-362

convolution finite eleme... Finite element methods a... Learning and adaptive sy... convolution tensor decom... high-order smoothness Thermal effects in solid... …
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39

Multi-view multi-label learning with high-order label correlation
Liu, Bo ; Li, Weibin ; Xiao, Yanshan ; et al.
Information Sciences. 624:165-184

label correlation Learning and adaptive sy... 0202 electrical engineer... multi-label learning 02 engineering and techn... multi-view learning
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40

Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials
Guo, Hongwei ; Zhuang, Xiaoying ; Fu, Xiaolong ; et al.
Computational Mechanics. 72:513-524

Functionally graded mate... Inhomogeneity in solid m... Learning and adaptive sy... Deep learning Physics-informed 01 natural sciences …
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