Results 81 to 90 of about 1,489 (178)

Robustness analysis of a Maximum Correntropy framework for linear regression

, 2017
In this paper we formulate a solution of the robust linear regression problem in a general framework of correntropy maximization. Our formulation yields a unified class of estimators which includes the Gaussian and Laplacian kernel-based correntropy ...
Bako, Laurent
core  

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non‐Gaussian Noises

IET Signal Processing, Volume 2025, Issue 1, 2025.
Understanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real‐world conditions. This study investigates a linear combination of three criteria: minimum mean square error (MMSE), minimum error entropy (MEE), and maximum correntropy criterion (MCC), using a gradient descent algorithm ...
Fatemeh Mohamaddust, Saeid Pakravan, Ghosheh Abed Hodtani, Yongcheng Jing   +3 more
wiley   +1 more source

Enhancing Smart City Security: An Intrusion Detection System Using Machine Learning Methods With the UNB CIC IoT 2023 Dataset

IET Smart Cities, Volume 7, Issue 1, January/December 2025.
Security of smart cities using machine learning methods. ABSTRACT Smart cities, characterised by their extensive use of IoT devices, aim to enhance urban living through improved efficiency, sustainability and quality of life. However, the widespread integration of IoT technology introduces significant cybersecurity challenges, including vulnerabilities
Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula   +2 more
wiley   +1 more source

Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Advances in Fuzzy Systems, Volume 2025, Issue 1, 2025.
Type‐3 fuzzy logic has been recently used in many control methods. The type‐3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type‐3 fuzzy logic in the field of control are studied and evaluated.
Turki Y. Abdalla, AbdulKareem Y. Abdalla, Adala M. Chyaid, Katsuhiro Honda   +3 more
wiley   +1 more source

Distributed Adaptive Clustering Based on Maximum Correntropy Criterion Over Dynamic Multi-Task Networks

IEEE Access, 2020
This paper focuses on the problem of distributed adaptive estimation over dynamic multi-task networks, where a set of nodes is required to collectively estimate some parameters of interest from noisy measurements.
Qing Shi, Fuliang He, Jiagui Wu, Feng Chen   +3 more
doaj   +1 more source

Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy

, 2014
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks. The classic ways to measure the errors between the original and the reconstructed matrix are $l_2$ distance or Kullback-Leibler (KL) divergence ...
Fan, Zhuoyi, Li, Le, Xu, Yang, Yang, Jianjun, Zhang, Honggang, Zhao, Kaili   +5 more
core   +1 more source

STATCOM and DFIG Reactive Power Management Strategy for LVRT Capability Enhancement Under Asymmetrical Grid Faults

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
In the trajectory of carbon dioxide (CO2) neutrality, wind and solar energies will be the key for the energy transition in the electricity sector; however, a massive integration of solar and wind farms into the electricity grid by 2050 will be carried out. For this end, powers control and powers management of these two renewable energies have taken the
Kamel Sayahi, Belgacem Bouallegue, Mansour Baazouzi, Faouzi Bacha, Akshay Kumar Saha   +4 more
wiley   +1 more source

Weighted maximum mixture complex correntropy-based past algorithm: a novel approach for low-altitude target parameter estimation

Ain Shams Engineering Journal
Aiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
doaj   +1 more source

A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

Entropy, 2017
A soft parameter function penalized normalized maximum correntropy criterion (SPF-NMCC) algorithm is proposed for sparse system identification. The proposed SPF-NMCC algorithm is derived on the basis of the normalized adaptive filter theory, the maximum ...
Yingsong Li, Yanyan Wang, Rui Yang, Felix Albu   +3 more
doaj   +1 more source

A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth. [PDF]

Sensors (Basel), 2023
Jwo DJ, Chen YL, Cho TS, Biswal A.
europepmc   +1 more source