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

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61

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems: Automated reinforcement learning (AutoRL): a survey and open problems
Parker-Holder, Jack ; Rajan, Raghu ; Song, Xingyou ; et al.
Journal of Artificial Intelligence Research. 74:517-568

FOS: Computer and inform... reinforcement learning Computer Science - Machi... I.2.6 Research exposition (mon... Learning and adaptive sy... …
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62

Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms: Bias, fairness and accountability with artificial intelligence and machine learning algorithms
Nengfeng Zhou ; Zach Zhang ; Vijayan N. Nair ; et al.
International Statistical Review. 90:468-480

Time series, auto-correl... algorithm bias Mathematical economics AI Learning and adaptive sy... …
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63

Optimality of regularized least squares ranking with imperfect kernels
He, Fangchao ; Zeng, Yu ; Zheng, Lie ; et al.
Information Sciences. 589:564-579

ranking Learning and adaptive sy... Computational learning t... leave-two-out stability imperfect kernel 0101 mathematics …
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64

Generalized multiview sequential three-way decisions based on local partition order product space
Qian, Jin ; Zhou, Chuanpeng ; Yu, Ying ; et al.
International Journal of Approximate Reasoning. 178:109350

granular computing multilevel product space sequential three-way dec... Learning and adaptive sy... multiview …
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65

Maximum Likelihood Evidential Reasoning: Maximum likelihood evidential reasoning
Jian-Bo Yang ; Dong-Ling Xu
Yang, J-B & Xu, D-L 2025, 'Maximum likelihood evidential reasoning', Artificial Intelligence, vol. 340, 104289. https://doi.org/10.1016/j.artint.2025.104289

Dempster principle explainable artificial i... Bayesian inference Learning and adaptive sy... interpretable machine le... Reasoning under uncertai... …
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66

Deep Fourier Residual method for solving time-harmonic Maxwell's equations: Deep Fourier residual method for solving time-harmonic Maxwell's equations
Jamie M. Taylor ; Manuela Bastidas ; David Pardo ; et al.
BIRD. BCAM's Institutional Repository Data
instname

Electromagnetic theory (... Learning and adaptive sy... 0211 other engineering a... FOS: Mathematics Spectral, collocation an... Mathematics - Numerical... …
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67

Privacy-preserving and communication-efficient stochastic alternating direction method of multipliers for federated learning
Yi Zhang ; Yunfan Lu ; Fengxia Liu ; et al.
Information Sciences. 691:121641

Data encryption (aspects... federated learning Learning and adaptive sy... Privacy of data homomorphic encryption Stochastic programming …
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68

Bayesian neural networks for predicting uncertainty in full-field material response
George D. Pasparakis ; Lori Graham-Brady ; Michael D. Shields
Computer Methods in Applied Mechanics and Engineering. 433:117486

FOS: Computer and inform... Bayesian neural network Condensed Matter - Mater... Computer Science - Machi... epistemic and aleatoric... Learning and adaptive sy... …
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69

A robust multi-label feature selection based on label significance and fuzzy entropy
Taoli Yang ; Changzhong Wang ; Yiying Chen ; et al.
International Journal of Approximate Reasoning. 176:109310

Measures of information,... feature selection fuzzy entropy feature significance Learning and adaptive sy... label enhancement …
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70

Tackling biased complementary label learning with large margin
Yiwei You ; Jinglong Huang ; Qiang Tong ; et al.
Information Sciences. 687:121400

complementary label lear... Learning and adaptive sy... complementary logit marg... transition matrix weakly supervised learni...
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71

Reinforcement learning-based optimal control for Markov jump systems with completely unknown dynamics
Shi, Xiongtao ; Li, Yanjie ; Du, Chenglong ; et al.
Automatica. 171:111886

Applications of Markov c... optimal control reinforcement learning parallel policy iteratio... Algebraic methods Learning and adaptive sy... …
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72

Dual semi-supervised convex nonnegative matrix factorization for data representation
Peng, Siyuan ; Yang, Zhijing ; Ling, Bingo Wing-Kuen ; et al.
Information Sciences. 585:571-593

Data Representation Numerical computation of... semi-supervised learning Classification and discr... cluster analysis (statis... Semi-Supervised Learning …
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73

Deep two-way matrix reordering for relational data analysis
Watanabe, Chihiro ; Suzuki, Taiji
Neural Networks. 146:303-315

Data Analysis FOS: Computer and inform... Computer Science - Machi... neural network Learning and adaptive sy... Machine Learning (stat.M... …
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74

BACS: blockchain and AutoML-based technology for efficient credit scoring classification
Fan Yang ; Yanan Qiao ; Yong Qi ; et al.
Ann Oper Res

credit scoring Management decision maki... hyperparameter optimisat... classification model blockchain technology Learning and adaptive sy... …
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75

Analysis of regularized least squares ranking with centered reproducing kernel
Fangchao He ; Lie Zheng
International Journal of Wavelets, Multiresolution and Information Processing. 22

regularization ranking Singular and oscillatory... Learning and adaptive sy... General nonlinear regres... 0202 electrical engineer... …
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76

Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network: Image edge detection algorithm based on fuzzy radial basis neural network
Lin Feng ; Jian Wang ; Chao Ding
Advances in Mathematical Physics, Vol 2021 (2021)

0209 industrial biotechn... 0203 mechanical engineer... Physics QC1-999 Learning and adaptive sy... 02 engineering and techn... …
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77

A theory of capacity and sparse neural encoding
Pierre Baldi ; Roman Vershynin
Neural Networks. 143:12-27

FOS: Computer and inform... 0301 basic medicine Computer Science - Machi... 0303 health sciences threshold functions Learning and adaptive sy... …
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78

Non-technical losses detection in energy consumption focusing on energy recovery and explainability
Coma Puig, Bernat ; Carmona Vargas, Josep ; Universitat Politècnica de Catalunya. Doctorat en Computació ; et al.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Energia elèctrica--Submi... Non-technical losses Learning and adaptive sy... 0211 other engineering a... non-technical losses robustness …
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79

An incremental-learning model-based multiobjective estimation of distribution algorithm
Shenmin Song ; Liguo Tan ; Tingrui Liu ; et al.
Information Sciences. 569:430-449

estimation of distributi... incremental learning 0209 industrial biotechn... evolutionary algorithm Gaussian mixture model Evolutionary algorithms,... …
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80

Multi‐innovation Newton recursive methods for solving the support vector machine regression problems: Multi-innovation Newton recursive methods for solving the support vector machine regression problems
Hao Ma ; Feng Ding ; Yan Wang
International Journal of Robust and Nonlinear Control. 31:7239-7260

0209 industrial biotechn... multi-innovation identif... Learning and adaptive sy... 0202 electrical engineer... support vector machine Newton search …
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