Suchergebnisse - Extended kernel RLS algorithm

Extended Kernel Recursive Least Squares Algorithm

Autoren: Liu, Weifeng Park, Il (Memming) Wang, Yiwen et al.

Quelle: IEEE Transactions on Signal Processing. 57:3801-3814

Schlagwörter: Extended recursive least squares, 0202 electrical engineering, electronic engineering, information engineering, Kernel methods, Kalman filter, 02 engineering and technology, Reproducing kernel Hilbert spaces

A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS

Autoren: Tiago S. Façanha Guilherme A. Barreto José T. Costa Filho

Quelle: Circuits, Systems, and Signal Processing. 40:1397-1419

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/journals/cssp/cssp40.html#FacanhaBF21
https://link.springer.com/article/10.1007/s00034-020-01533-4

A novel extended kernel recursive least squares algorithm

Autoren: Zhu, Pingping Chen, Badong Príncipe, José C.

Quelle: Neural Networks. Aug2012, Vol. 32, p349-357. 9p.

Schlagwörter: *KERNEL functions, *RECURSIVE functions, *LEAST squares, *ALGORITHMS, *KALMAN filtering, *MATHEMATICAL models, *RAYLEIGH fading channels, *NONLINEAR theories

Extended Kernel Recursive Least Squares Algorithm.

Autoren: Weifeng Liu Il Park Yiwen Wang et al.

Quelle: IEEE Transactions on Signal Processing; Oct2009, Vol. 57 Issue 10, p3801-3814, 14p, 4 Black and White Photographs, 2 Charts, 9 Graphs

Schlagwörter: KERNEL functions, HILBERT space, KALMAN filtering, ESTIMATION theory, RECURSIVE functions

A Novel Kalman Filter Formulation for Improving Tracking Performance of the Extended Kernel RLS.

Autoren: Façanha, Tiago S. Barreto, Guilherme A. Costa Filho, José T.

Quelle: Circuits, Systems & Signal Processing; Mar2021, Vol. 40 Issue 3, p1397-1419, 23p

Schlagwörter: KALMAN filtering, MULTIPATH channels, RICCATI equation, QUADRATIC forms, TRACKING algorithms, NONLINEAR dynamical systems, LORENZ equations

A new kernel RLS algorithm for systems with bounded noise.

Autoren: Constantin, I. Constantin, J. Bigand, A.

Quelle: International Journal of Adaptive Control & Signal Processing; Feb2018, Vol. 32 Issue 2, p344-361, 18p

Schlagwörter: LEAST squares, ALGORITHMS, KERNEL functions, ELLIPSOIDS, COMPUTER simulation

An outlier-robust kernel RLS algorithm for nonlinear system identification.

Autoren: Santos, José Barreto, Guilherme

Quelle: Nonlinear Dynamics; Nov2017, Vol. 90 Issue 3, p1707-1726, 20p

A robust diffusion recursive generalized modified Blake-Zisserman algorithm for distributed estimation under an adaptive kernel width.

Autoren: Naeimi Sadigh, Alireza¹ (AUTHOR) anaeimi@semnan.ac.ir

Quelle: Signal Processing. Aug2023, Vol. 209, pN.PAG-N.PAG. 1p.

Schlagwörter: *DISTRIBUTED algorithms, *COSINE function, *HYPERBOLIC functions, *SYSTEM identification, *MACHINE learning, *NOISE

Unsupervised non-parametric kernel learning algorithm.

Autoren: Liu, Bing Xia, Shi-Xiong Zhou, Yong

Quelle: Knowledge-Based Systems. May2013, Vol. 44, p1-9. 9p.

Schlagwörter: *NONPARAMETRIC estimation, *MACHINE learning, *ALGORITHMS, *KERNEL functions, *EMBEDDED computer systems, *LEAST squares

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

Autoren: Arthur, Benjamin J. Kim, Christopher M. Susu Chen et al.

Quelle: Frontiers in Neuroinformatics; 2023, p1-8, 8p

Schlagwörter: ARTIFICIAL neural networks, RECURRENT neural networks, NERVOUS system, ALGORITHMS, NEURAL circuitry

Extended Kernel Recursive Least Squares Algorithm

Autoren: Weifeng Liu Il Park Yiwen Wang et al.

Weitere Verfasser: Weifeng Liu Il Park Yiwen Wang et al.

Quelle: http://www.cnel.ufl.edu/~weifeng/filesfordownload/paper/exkrls.pdf.

Schlagwörter: Index Terms

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.316.5030; http://www.cnel.ufl.edu/~weifeng/filesfordownload/paper/exkrls.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.316.5030
http://www.cnel.ufl.edu/~weifeng/filesfordownload/paper/exkrls.pdf

Recursive Minimum Complex Kernel Risk-Sensitive Loss Algorithm

Autoren: Guobing Qian Dan Luo Shiyuan Wang

Quelle: Entropy, Vol 20, Iss 12, p 902 (2018)

Schlagwörter: complex, kernel risk-sensitive loss, recursive, stability, EMSE, Science, Astrophysics, QB460-466, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1099-4300/20/12/902; https://doaj.org/toc/1099-4300

Zugangs-URL: https://doaj.org/article/ce0bb84280d94b5a817fccc913af1df5

Kernel online sequential ELM algorithm with sliding window subject to time-varying environments.

Autoren: Zhang, Haigang Zhang, Sen Yin, Yixin

Quelle: Memetic Computing; Mar2018, Vol. 10 Issue 1, p43-52, 10p

Semi-Supervised Soft Computing for Ammonia Nitrogen Using a Self-Constructing Fuzzy Neural Network with an Active Learning Mechanism.

Autoren: Zhou, Hongbiao Huang, Yang Yang, Dan et al.

Quelle: Water (20734441); Oct2024, Vol. 16 Issue 20, p3001, 26p

Schlagwörter: FUZZY neural networks, STANDARD deviations, SOFT computing, K-means clustering, WATER quality

Mixed-Precision Kernel Recursive Least Squares.

Autoren: Lee, JunKyu Nikolopoulos, Dimitrios S. Vandierendonck, Hans

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p1284-1298, 15p

Schlagwörter: OCEAN temperature, TIME series analysis, NONLINEAR regression, ONLINE education, MACHINE learning

Online Sequential Extreme Learning Machine With Kernels.

Autoren: Scardapane, Simone Comminiello, Danilo Scarpiniti, Michele et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Sep2015, Vol. 26 Issue 9, p2214-2220, 7p

Schlagwörter: FACILITATED learning, COGNITIVE structures, KERNEL operating systems, KERNEL (Mathematics), KERNEL functions

The Silent Language: A Review of Mathematics in the Realm of Gas Sensing.

Autoren: Hingangavkar, Gajanan M.

Quelle: Sensing & Imaging; 9/23/2025, Vol. 26 Issue 1, p1-41, 41p

Comparative analysis on artificial intelligence methods for DTI and DTBA prediction in drug repurposing.

Autoren: Kumar, Sheo Singh, Amritpal

Quelle: Medicinal Chemistry Research; Oct2025, Vol. 34 Issue 10, p2086-2114, 29p

The random forest machine learning model performs better in predicting drug repositioning using networks: Systematic review and meta-analysis.

Alternate Title: El modelo de aprendizaje automático bosque aleatorio presenta un mejor desempeño para predecir el reposicionamiento de medicamentos usando redes: Revisión sistemática y Meta-análisis. (Spanish)
O modelo de aprendizado de máquina Floresta Aleatória apresenta melhor desempenho para prever o reposicionamento de medicamentos utilizando redes: Revisão Sistemática e Meta-análise. (Portuguese)

Autoren: García Marín, Darlyn Juranny García Zea, Jerson Alexander

Quelle: Revista Colombiana de Ciencias Químico-Farmacéuticas; 2024, Vol. 53 Issue 2, p354-384, 31p

Schlagwörter: DRUG repositioning, RANDOM forest algorithms, SUPERVISED learning, MACHINE learning, DRUG development, LINEAR network coding, DRUG utilization, RANDOM effects model

Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications.

Autoren: Jayakumar, Drisya Bouhoula, Adel Al-Zubari, Waleed Khalil

Quelle: Water (20734441); Nov2024, Vol. 16 Issue 22, p3328, 31p

Schlagwörter: WATER management, WATER demand management, DECISION support systems, WATER supply, WATER pollution monitoring, SALINE water conversion, WATER quality monitoring