Cover Image

Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dang, Gang, Wang, Dianhui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recurrent Stochastic Configuration Networks for Temporal Data Analytics
by: Wang, Dianhui, et al.
Published: (2024)

Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
by: Wang, Dianhui, et al.
Published: (2024)

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems
by: Dang, Gang, et al.
Published: (2024)

Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling
by: Dang, Gang, et al.
Published: (2024)

Recurrent Stochastic Configuration Networks with Incremental Blocks
by: Dang, Gang, et al.
Published: (2024)

Kernel Stochastic Configuration Networks for Nonlinear Regression
by: Chen, Yongxuan, et al.
Published: (2024)

Deeper Insights into Learning Performance of Stochastic Configuration Networks
by: Yan, Xiufeng, et al.
Published: (2024)

On the Provable Suboptimality of Momentum SGD in Nonstationary Stochastic Optimization
by: Sahu, Sharan, et al.
Published: (2026)

Describing Nonstationary Data Streams in Frequency Domain
by: Komorniczak, Joanna
Published: (2025)

SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes
by: Negarandeh, Nima, et al.
Published: (2025)

Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
by: Ziatdinov, Maxim
Published: (2024)

Online Conformal Model Selection for Nonstationary Time Series
by: Li, Shibo, et al.
Published: (2025)

Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
by: Balsells-Rodas, Carles, et al.
Published: (2024)

Nonstationary Sparse Spectral Permanental Process
by: Sun, Zicheng, et al.
Published: (2024)

A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
by: Malialis, Kleanthis, et al.
Published: (2022)

Stochastic Self-Organization in Multi-Agent Systems
by: Tastan, Nurbek, et al.
Published: (2025)

Subspace-Configurable Networks
by: Wang, Dong, et al.
Published: (2023)

Modeling Nonstationary Extremal Dependence via Deep Spatial Deformations
by: Shao, Xuanjie, et al.
Published: (2025)

Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization
by: Chen, Xinyu, et al.
Published: (2022)

Nonstationary Reinforcement Learning with Linear Function Approximation
by: Zhou, Huozhi, et al.
Published: (2020)

Regular Fourier Features for Nonstationary Gaussian Processes
by: Jawaid, Arsalan, et al.
Published: (2026)

A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
by: James, Zachary, et al.
Published: (2025)

Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
by: Cortes, Gaëtan, et al.
Published: (2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition
by: Song, Xiangchen, et al.
Published: (2024)

Causal Inference from Slowly Varying Nonstationary Processes
by: Du, Kang, et al.
Published: (2024)

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization
by: Wen, Yuejiang, et al.
Published: (2025)

A State-Space Approach to Nonstationary Discriminant Analysis
by: Xie, Shuilian, et al.
Published: (2025)

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
by: Zhou, Yifan, et al.
Published: (2025)

Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
by: Pasquini, Dario, et al.
Published: (2023)

SOFA-FL: Self-Organizing Hierarchical Federated Learning with Adaptive Clustered Data Sharing
by: Ni, Yi, et al.
Published: (2025)

Phase-driven Domain Generalizable Learning for Nonstationary Time Series
by: Mohapatra, Payal, et al.
Published: (2024)

Compositional Learning for Modular Multi-Agent Self-Organizing Networks
by: Liao, Qi, et al.
Published: (2025)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
by: Li, Zijian, et al.
Published: (2024)

Learning to Query History: Nonstationary Classification via Learned Retrieval
by: Gammell, Jimmy, et al.
Published: (2026)

Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent
by: Lee, Joongkyu, et al.
Published: (2026)

Fast Rates for Nonstationary Weighted Risk Minimization
by: Brock, Tobias, et al.
Published: (2026)

Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
by: Chen, Gang, et al.
Published: (2025)

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
by: Fang, Yuanheng, et al.
Published: (2025)

Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization
by: Sahu, Sharan, et al.
Published: (2026)