Image de couverture de livre

A Noise Resilient Approach for Robust Hurst Exponent Estimation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Premarathna, Malith, Ruggeri, Fabrizio, Vimalajeewa, Dixon
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Multiscale Approach for Enhancing Weak Signal Detection
par: Vimalajeewa, Dixon, et autres
Publié: (2025)

Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
par: Young, Rory, et autres
Publié: (2024)

Generative Bayesian Computation for Maximum Expected Utility
par: Polson, Nick, et autres
Publié: (2024)

A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
par: Defilippis, Leonardo, et autres
Publié: (2026)

GK-SMOTE: A Hyperparameter-free Noise-Resilient Gaussian KDE-Based Oversampling Approach
par: Miraj, Mahabubur Rahman, et autres
Publié: (2025)

Optimal Clustering with Dependent Costs in Bayesian Networks
par: Wu, Paul Pao-Yen, et autres
Publié: (2023)

Robust Blind Channel Estimation for Bursty Impulsive Noise with a Constrained EM Approach
par: Chen, Chin-Hung, et autres
Publié: (2025)

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
par: Li, Shiyuan, et autres
Publié: (2024)

FP8 Quantization: The Power of the Exponent
par: Kuzmin, Andrey, et autres
Publié: (2022)

Scaling Exponents Across Parameterizations and Optimizers
par: Everett, Katie, et autres
Publié: (2024)

Error Exponent in Agnostic PAC Learning
par: Hendel, Adi, et autres
Publié: (2024)

Robust Optimization Approach and Learning Based Hide-and-Seek Game for Resilient Network Design
par: Khosravi, Mohammad, et autres
Publié: (2026)

Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
par: Sun, Chenglu, et autres
Publié: (2025)

A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
par: Abry, Patrice, et autres
Publié: (2025)

Memory-Efficient Partitioned DNN Inference on Resource-Constrained Android Crowds
par: Manamperi, Lakshani, et autres
Publié: (2026)

Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series
par: Millán, Ginno, et autres
Publié: (2021)

Optimizing Parallel Schemes with Lyapunov Exponents and kNN-LLE Estimation
par: Shams, Mudassir, et autres
Publié: (2026)

Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
par: Chen, Zhuoyue, et autres
Publié: (2026)

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
par: Chen, Ling-Hao, et autres
Publié: (2023)

Protecting Classifiers From Attacks
par: Gallego, Victor, et autres
Publié: (2020)

Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
par: Hu, Zicheng, et autres
Publié: (2025)

Robustness of Mixtures of Experts to Feature Noise
par: Sun, Dong, et autres
Publié: (2026)

Label-Noise Robust Diffusion Models
par: Na, Byeonghu, et autres
Publié: (2024)

Robust Learning under Hybrid Noise
par: Wei, Yang, et autres
Publié: (2024)

Why is SAM Robust to Label Noise?
par: Baek, Christina, et autres
Publié: (2024)

Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
par: Compagnoni, Enea Monzio, et autres
Publié: (2025)

Robust Analysis for Resilient AI System
par: Wang, Yu, et autres
Publié: (2025)

Noise-Resilient Quantum Aggregation on NISQ for Federated ADAS Learning
par: Kabgere, Chethana Prasad, et autres
Publié: (2025)

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
par: Duque, Alice, et autres
Publié: (2024)

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
par: Liu, Yuhang, et autres
Publié: (2025)

Exploring the Noise Robustness of Online Conformal Prediction
par: Xi, Huajun, et autres
Publié: (2025)

Adaptive stable distribution and Hurst exponent by method of moments moving estimator for nonstationary time series
par: Duda, Jarek
Publié: (2025)

Design and Analysis of Robust Adaptive Filtering with the Hyperbolic Tangent Exponential Kernel M-Estimator Function for Active Noise Control
par: Hermont, Iam Kim de S., et autres
Publié: (2025)

Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
par: Boros, Dániel, et autres
Publié: (2024)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
par: Dey, Aditya, et autres
Publié: (2025)

Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks
par: Shaban, Zubair, et autres
Publié: (2025)

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
par: Wang, Yaxuan, et autres
Publié: (2025)

Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
par: Ren, Yunwei, et autres
Publié: (2024)

A Robust State Filter Against Unmodeled Process And Measurement Noise
par: Liu, Weitao
Publié: (2025)

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
par: Chen, Jianan, et autres
Publié: (2023)