Showing 41 - 60 of 8,232

41

Prescriptive selection of machine learning hyperparameters with applications in power markets: Retailer’s optimal trading: Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal trading
Alberto Corredera ; Carlos Ruiz ; Comunidad de Madrid ; et al.
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

Classification and discr... cluster analysis (statis... Learning and adaptive sy... 0211 other engineering a... Stochastic programming OR in energy
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42

The role of diversity and ensemble learning in credit card fraud detection
Paldino, Gian Marco ; Lebichot, Bertrand ; Le Borgne, Yann-Aël ; et al.
Advances in Data Analysis and Classification: Theory, Methods, and Applications in Data Science. 18(1):193-217

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43

A Neuro-Fuzzy System Based on Logical Interpretation of If-Then Rules: A neuro-fuzzy system based on logical interpretation of if-then rules
Łęski, Jacek M. ; Henzel, Norbert ; Rutkowska, Danuta - ed. ; et al.
Fuzzy Learning and Applications ISBN: 9780429177453

benchmark databases fuzzy implications fuzzy systems soft computing Learning and adaptive sy... approximate reasoning
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44

DCEM: A deep complementary energy method for linear elasticity: DCEM: a deep complementary energy method for linear elasticity
Yizheng Wang ; Jia Sun ; Timon Rabczuk ; et al.
International Journal for Numerical Methods in Engineering. 125

minimum complementary en... Numerical and other meth... Classical linear elastic... physics-informed neural... Learning and adaptive sy... deep energy method
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45

Robustness and exploration of variational and machine learning approaches to inverse problems: An overview: Robustness and exploration of variational and machine learning approaches to inverse problems: an overview
Alexander Auras ; Kanchana Vaishnavi Gandikota ; Hannah Droege ; et al.
GAMM-Mitteilungen. 47

FOS: Computer and inform... Computer Science - Machi... inverse problems Computer Vision and Patt... Image and Video Processi... Learning and adaptive sy...
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46

Computer validation of neural network dynamics: A first case study: Computer validation of neural network dynamics: a first case study
Kuehn, Christian ; Queirolo, Elena
Discrete and Continuous Dynamical Systems - B. 30:2073-2093

Learning and adaptive sy... Dynamical Systems (math.... Numerical Analysis (math... 01 natural sciences Poincaré recurrences 37G10, 37N99, 68T07
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47

Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation: Machine learning-based conditional mean filter: a generalization of the ensemble Kalman filter for nonlinear data assimilation
Hoang, Truong-Vinh ; Krumscheid, Sebastian ; Matthies, Hermann G. ; et al.
Foundations of Data Science. 5:56-80

ddc:004 FOS: Computer and inform... Computer Science - Machi... Learning and adaptive sy... Machine Learning (stat.M... 62M45, 62M20, 65C20, 86-...
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48

Controlled learning of pointwise nonlinearities in neural-network-like architectures
Michael Unser ; Alexis Goujon ; Stanislas Ducotterd
Applied and Computational Harmonic Analysis. 77:101764

Signal theory (character... Mathematics - Functional... FOS: Computer and inform... Computer Science - Machi... Statistics - Machine Lea... Learning and adaptive sy...
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49

Graph-based method for autonomous adaptation in online learning of non-stationary data
W.J. Alvarenga ; A.C.A.A. Costa ; F.V. Campos ; et al.
Information Sciences. 700:121765

autonomous adaptation Gabriel graph Vertex subsets with spec... online learning Learning and adaptive sy... KDE
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50

Trust-Region Based Stochastic Variational Inference for Distributed and Asynchronous Networks: Trust-region based stochastic variational inference for distributed and asynchronous networks
Fu, Weiming ; Qin, Jiahu ; Ling, Qing ; et al.
Journal of Systems Science and Complexity. 35:2062-2076

distributed algorithm asynchronous networks Bayesian inference trust-region method Networked control Learning and adaptive sy...
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51

Model‐free self‐triggered control based on deep reinforcement learning for unknown nonlinear systems: Model-free self-triggered control based on deep reinforcement learning for unknown nonlinear systems
Haiying Wan ; Hamid Reza Karimi ; Xiaoli Luan ; et al.
International Journal of Robust and Nonlinear Control. 33:2238-2250

0209 industrial biotechn... deep reinforcement learn... self-triggered control deep deterministic polic... Learning and adaptive sy... 0202 electrical engineer...
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52

A data-driven multi-flaw detection strategy based on deep learning and boundary element method
Sun, Jia ; Liu, Yinghua ; Yao, Zhenhan ; et al.
Computational Mechanics. 71:517-542

Inverse problems in equi... non-uniqueness block LU decomposition m... Learning and adaptive sy... 0211 other engineering a... non-destructive testing
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53

A novel physics-informed framework for reconstruction of structural defects
Li, Qi ; Liu, Fushun ; Wang, Bin ; et al.
Applied Mathematics and Mechanics. 43:1717-1730

Wave scattering in solid... Inverse problems for wav... Learning and adaptive sy... learning neural network 02 engineering and techn... 01 natural sciences
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54

Adaptive distribution calibration for few-shot learning via optimal transport
Liu, Xin ; Zhou, Kairui ; Yang, Pengbo ; et al.
Information Sciences. 611:1-17

03 medical and health sc... Optimal transportation 0302 clinical medicine optimal transport Learning and adaptive sy... 0202 electrical engineer...
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55

Online subspace learning and imputation by Tensor-Ring decomposition: Online subspace learning and imputation by tensor-ring decomposition
Jinshi Yu ; Tao Zou ; Guoxu Zhou
Neural Networks. 153:314-324

Multilinear algebra, ten... Learning and adaptive sy... online tensor completion streaming data tensor ring decompositio... low rank
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56

Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers: Random projection and recovery for high dimensional optimization with arbitrary outliers
Jiawei Huang ; Ruizhe Qin ; Fan Yang ; et al.
International Journal of Computational Geometry & Applications. 32:201-225

random projection Applications of mathemat... Classification and discr... cluster analysis (statis... Computer graphics computational geometry (...
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57

Adaptive robust Adaboost-based twin support vector machine with universum data: Adaptive robust AdaBoost-based twin support vector machine with Universum data
Liu, Bo ; Huang, Ruiguang ; Xiao, Yanshan ; et al.
Information Sciences. 609:1334-1352

Classification and discr... cluster analysis (statis... Universum AdaBoost Learning and adaptive sy... 0202 electrical engineer...
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58

Fast unsupervised embedding learning with anchor-based graph
Zhang, Canyu ; Nie, Feiping ; Wang, Rong ; et al.
Information Sciences. 609:949-962

rank constraint Learning and adaptive sy... 0211 other engineering a... 0202 electrical engineer... anchor-based graph 02 engineering and techn...
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59

Informative pairs mining based adaptive metric learning for adversarial domain adaptation
Mengzhu Wang ; Paul Li ; Li Shen ; et al.
Neural Networks. 151:238-249

domain adaptation Learning and adaptive sy... adaptive metric learning Reproducibility of Resul... 02 engineering and techn... informative pairs mining
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60

Provable training of a ReLU gate with an iterative non-gradient algorithm
Sayar Karmakar ; Anirbit Mukherjee
Mukherjee, A & Karmakar, S 2022, ' Provable training of a ReLU gate with an iterative non-gradient algorithm ', Neural Networks, vol. 151, pp. 264-275 . https://doi.org/10.1016/j.neunet.2022.03.040

FOS: Computer and inform... Computer Science - Machi... non-gradient iterative a... Computer Science - Infor... Information Theory (cs.I... Neural nets
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