:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Dianhui, Dang, Gang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2406.16959
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling
by: Dang, Gang, 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)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)

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

On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
by: Chen, Zhiheng, et al.
Published: (2024)

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

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

SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation
by: Han, Bin, et al.
Published: (2023)

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
by: Chao, Guoqing, et al.
Published: (2025)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

A Comprehensive Study of Shapley Value in Data Analytics
by: Lin, Hong, et al.
Published: (2024)

Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks
by: Genet, Remi
Published: (2025)

Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
by: Fakhruzi, Izhan, et al.
Published: (2026)

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations
by: Wang, Kesen, et al.
Published: (2024)

ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data
by: Cai, Yuxi, et al.
Published: (2026)

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

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

Approximation Bounds for Recurrent Neural Networks with Application to Regression
by: Jiao, Yuling, et al.
Published: (2024)

Interpretable Recognition of Fused Magnesium Furnace Working Conditions with Deep Convolutional Stochastic Configuration Networks
by: Weitao, Li, et al.
Published: (2025)

Echo State Networks for Spatio-Temporal Area-Level Data
by: Wang, Zhenhua, et al.
Published: (2024)

(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum
by: Dang, Anh, et al.
Published: (2024)

Investigating Sparsity in Recurrent Neural Networks
by: Darji, Harshil
Published: (2024)

Spectral Pruning for Recurrent Neural Networks
by: Furuya, Takashi, et al.
Published: (2021)

Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+($λ$,$λ$))-GA
by: Nguyen, Tai, et al.
Published: (2025)

Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity
by: Hershey, Quincy, et al.
Published: (2024)

Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
by: Liu, Haiyang, et al.
Published: (2024)

A Temporal Difference Method for Stochastic Continuous Dynamics
by: Settai, Haruki, et al.
Published: (2025)

Stochastic Parroting in Temporal Attention -- Regulating the Diagonal Sink
by: Hankemeier, Victoria, et al.
Published: (2026)

Score-matching-based Structure Learning for Temporal Data on Networks
by: Chen, Hao, et al.
Published: (2024)

BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks
by: Nayeri, Zahra Makki, et al.
Published: (2026)

Fractional Differential Equation Physics-Informed Neural Network and Its Application in Battery State Estimation
by: Dang, Lujuan, et al.
Published: (2025)

Generalization and Risk Bounds for Recurrent Neural Networks
by: Cheng, Xuewei, et al.
Published: (2024)

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
by: Knutson, Brandon, et al.
Published: (2024)

Recurrent Deep Differentiable Logic Gate Networks
by: Bührer, Simon, et al.
Published: (2025)

Memory Capacity of Nonlinear Recurrent Networks: Is it Informative?
by: Ballarin, Giovanni, et al.
Published: (2025)