Search Results - "((\"kernel recursive past squares algorithm\") OR (\"kernel recursive post squares algorithm\"))*"

Mixed-Precision Kernel Recursive Least Squares.

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

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

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

Research Progress on Intelligent System’s Learning, Optimization, and Control—Part II: Online Sparse Kernel Adaptive Algorithm.

Authors: Tan, Fuxiao Guan, Xinping

Source: IEEE Transactions on Systems, Man & Cybernetics. Systems; Dec2020, Vol. 50 Issue 12, p5369-5385, 17p

Subject Terms: ALGORITHMS, ADAPTIVE filters, HILBERT space, PRINCIPAL components analysis, KERNEL functions, KERNEL (Mathematics)

Kernel Recursive Maximum Versoria Criterion Algorithm Using Random Fourier Features.

Authors: Jain, Sandesh Mitra, Rangeet Bhatia, Vimal

Source: IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Jul2021, Vol. 68 Issue 7, p2725-2729, 5p

Kernel Recursive Least Squares With Multiple Feedback and Its Convergence Analysis.

Authors: Wang, Shiyuan Wang, Wanli Duan, Shukai et al.

Source: IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Oct2017, Vol. 64 Issue 10, p1237-1241, 5p

Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting.

Authors: Alkharashi, Abdulwhab Kaur, Gaganjot Alsolai, Hadeel et al.

Source: PeerJ Computer Science; Jul2025, p1-26, 26p

Subject Terms: FORECASTING, FUZZY systems, MACHINE learning, FUZZY logic, UNCERTAINTY (Information theory), MATHEMATICAL optimization

Kernel Recursive Least-Squares Tracker for Time-Varying Regression.

Authors: Van Vaerenbergh, Steven Lazaro-Gredilla, Miguel Santamaria, Ignacio

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2012, Vol. 23 Issue 8, p1313-1326, 14p

Subject Terms: SIGNAL processing, KERNEL (Mathematics), ADAPTIVE filters, COMPUTATIONAL complexity, COMPUTER simulation

Mixture Correntropy-Based Kernel Extreme Learning Machines.

Authors: Zheng, Yunfei Chen, Badong Wang, Shiyuan et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Feb2022, Vol. 33 Issue 2, p811-825, 15p

Subject Terms: MACHINE learning, MEAN square algorithms, RANDOM noise theory

4D trajectory lightweight prediction algorithm based on knowledge distillation technique.

Authors: Tang, Weizhen Dai, Jie Huang, Zhousheng et al.

Source: Frontiers in Neurorobotics; 2025, p1-21, 21p

Subject Terms: AIR traffic control, PREDICTION models, SPATIOTEMPORAL processes, REAL-time computing, KNOWLEDGE transfer, OPTIMIZATION algorithms

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

Authors: Santos, José Barreto, Guilherme

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

The Clay Millennium Problems as Recursive System Attractors

Authors: Kulik, Dean

Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II.

Authors: Xu, Jing Anctil, François Boucher, Marie-Amélie

Source: Hydrology & Earth System Sciences; 2022, Vol. 26 Issue 4, p1001-1017, 17p

Rule extraction from convolutional neural networks for heart disease prediction.

Authors: Chakraborty, Manomita

Source: Biomedical Engineering Letters; Jul2024, Vol. 14 Issue 4, p649-661, 13p

Unravelling emotions: exploring deep learning approaches for EEG-based emotion recognition with current challenges and future recommendations.

Authors: Abgeena, Abgeena Garg, Shruti

Source: Cognitive Neurodynamics; 10/23/2025, Vol. 19 Issue 1, p1-32, 32p

Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex—An Approach with Machine Learning Algorithms.

Authors: Morgan-Benita, Jorge A. Celaya-Padilla, José M. Luna-García, Huizilopoztli et al.

Source: Diagnostics (2075-4418); Aug2024, Vol. 14 Issue 15, p1623, 43p

Subject Terms: ARTIFICIAL neural networks, GENDER differences (Sociology), MACHINE learning, TYPE 2 diabetes, DIASTOLIC blood pressure

An Efficient Cotton Yield Prediction Framework Using Remote Sensing Images.

Authors: Srinivas, Porandla Suresh, A.

Source: Sensing & Imaging; 10/8/2025, Vol. 26 Issue 1, p1-44, 44p

Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation.

Authors: Fan, Shujun Xu, Ling Ding, Feng et al.

Source: International Journal of Control, Automation & Systems; 2021, Vol. 19 Issue 1, p289-300, 12p

Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping.

Authors: Sirocchi, Christel Urschler, Martin Pfeifer, Bastian

Source: BioData Mining; 2/15/2025, Vol. 18 Issue 1, p1-35, 35p

Subject Terms: ARTIFICIAL intelligence, RANDOM forest algorithms, MACHINE learning, CANCER genes, RENAL cancer

Evaluating the Machine Learning Literature: A Primer and User's Guide for Psychiatrists.

Authors: Grzenda, Adrienne Kraguljac, Nina V. McDonald, William M. et al.

Source: Focus: The Journal of Lifelong Learning in Psychiatry; Spring2025, Vol. 23 Issue 2, p270-284, 15p

Probability Density Rank-Based Quantization for Convex Universal Learning Machines.

Authors: Qin, Zhengda Chen, Badong Gu, Yuantao et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2020, Vol. 31 Issue 8, p3100-3113, 14p

Subject Terms: MACHINE learning, DATA distribution, PROBABILITY theory, DENSITY, VECTOR quantization

A Kernel Attention-based Transformer Model for Survival Prediction of Heart Disease Patients.

Authors: Kaushal, Palak Singh, Shailendra Vijayvergiya, Rajesh

Source: Journal of Cardiovascular Translational Research; Dec2024, Vol. 17 Issue 6, p1295-1306, 12p