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

Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

Authors: Vaerenbergh, Steven Van

Thesis Advisors: Santamaría Caballero, Ignacio, Universidad de Cantabria. Departamento de Ingeniería de Comunicaciones

Source: TDR (Tesis Doctorales en Red)

Subject Terms: spectral clustering, multiple-input multiple-output systems (MIMO), blind equalization of nonlinear systems, identification of nonlinear systems, signal processing, kernel methods, machine learning, análisis de correlaciones canónicas con kernels, separación ciega de fuentes post no lineal, filtrado adaptativo mediante Kernels, agrupamiento espectral, sistemas de múltiples entradas y múltiples salidas, igualación ciega de sistemas no lineales, identificación de sistemas no lineales, procesado de señal, métodos kernel, aprendizaje máquina, kernel adaptive filtering, postnonlinear blind source separation (BSS), adaptive kernel canonical correlation analysis, Teoría de la Señal y Comunicaciones

Time: 621.3

File Description: application/pdf

Access URL: http://www.tesisenred.net/TDR-0210110-112952
http://hdl.handle.net/10803/10673

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

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

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

Subject Terms: ARTIFICIAL neural networks, RECURRENT neural networks, NERVOUS system, ALGORITHMS, NEURAL circuitry

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)

The Kernel Recursive Least Squares CMAC with Vector Eligibility.

Authors: Laufer, Carl Patel, Nitish Coghill, George

Source: Neural Processing Letters; Jun2014, Vol. 39 Issue 3, p269-284, 16p

Subject Terms: LEAST squares, CEREBELLUM, ROBOT motion, ALGORITHMS, ARTIFICIAL neural networks

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

Data-based regression models for predicting remifentanil pharmacokinetics.

Authors: Shenoy, Prathvi Rao, Mahadev Chokkadi, Shreesha et al.

Source: Indian Journal of Anaesthesia; Dec2024, Vol. 68 Issue 12, p1081-1091, 11p

Subject Terms: MACHINE learning, SUPERVISED learning, MEAN square algorithms, LEAN body mass, PREDICTION algorithms

A Predictive Model Based on Machine Learning Algorithm for Vein Thrombosis After Ovarian Cancer Resection.

Authors: Zhao, Lei Yao, Lichao

Source: International Journal of Women's Health; Nov2025, Vol. 17, p4207-4226, 20p

Subject Terms: VENOUS thrombosis, OVARIAN cancer, HYPERCOAGULATION disorders, ENSEMBLE learning, SURGICAL complications, PREDICTION models, MACHINE learning, DISEASE risk factors

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

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

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

Sparse learned kernels for interpretable and efficient medical time series processing.

Authors: Chen, Sully F. Guo, Zhicheng Ding, Cheng et al.

Source: Nature Machine Intelligence; Oct2024, Vol. 6 Issue 10, p1132-1144, 13p

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

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

Individualized post‐operative prediction of cochlear implantation outcomes in children with prelingual deafness using functional near‐infrared spectroscopy.

Authors: Chen, Zhe Zhao, Xue Liu, Haotian et al.

Source: Laryngoscope Investigative Otolaryngology; Dec2024, Vol. 9 Issue 6, p1-10, 10p

Subject Terms: MACHINE learning, RECEIVER operating characteristic curves, LANGUAGE acquisition, SUPPORT vector machines, REGRESSION analysis, COCHLEAR implants

Machine learning-based prediction of post-operative outcomes in robotic-assisted radical prostatectomy: a multi-variable analysis of 758 cases.

Authors: Rajih, Emad Borhan, Walaa M. Elhassan, Yasir Hassan et al.

Source: Journal of Robotic Surgery; 9/25/2025, Vol. 19 Issue 1, p1-35, 35p

Identification and evaluation of metabolic mRNAs and key miRNAs in colorectal cancer liver metastasis.

Authors: Chen, Guanxuan Wang, Shiwen Zhang, Meng et al.

Source: Cancer Cell International; 7/16/2025, Vol. 25 Issue 1, p1-24, 24p

Subject Terms: COLORECTAL liver metastasis, LIVER metastasis, CANCER cell proliferation, METABOLIC reprogramming, MEDICAL sciences

Study on Motion Response Prediction of Offshore Platform Based on Multi-Sea State Samples and EMD Algorithm.

Authors: Liu, Tianyu Diao, Feng Yao, Wen et al.

Source: Water (20734441); Dec2024, Vol. 16 Issue 23, p3441, 26p

Subject Terms: LONG short-term memory, COMPUTATIONAL fluid dynamics, OCEAN waves, HILBERT-Huang transform, CONVOLUTIONAL neural networks

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