Suchergebnisse - "kernel recursive least squares algorithm"

The kernel recursive least-squares algorithm von Engel, Y., Mannor, S., Meir, R.

“… We present a nonlinear version of the recursive least squares (RLS) algorithm. Our algorithm performs linear regression in a high-dimensional feature space …”
Volltext

Quantized Kernel Recursive Least Squares Algorithm von Chen, Badong, Zhao, Songlin, Zhu, Pingping, Principe, Jose C.

“… By incorporating a simple online vector quantization method, we derive a recursive algorithm to update the solution, namely the quantized kernel recursive least squares algorithm …”
Volltext

Extended Kernel Recursive Least Squares Algorithm von Weifeng Liu, Il Park, Yiwen Wang, Principe, J.C.

“… This paper presents a kernelized version of the extended recursive least squares (EX-KRLS) algorithm which implements for the first time a general linear state …”
Volltext

Quaternion kernel recursive least-squares algorithm von Wang, Gang, Qiao, Jingci, Xue, Rui, Peng, Bei

“… Various kernel-based algorithms have been successfully applied to nonlinear problems in adaptive filters over the last two decades. In this paper, we study a …”
Volltext

Deep kernel recursive least-squares algorithm von Mohamadipanah, Hossein, Heydari, Mahdi, Chowdhary, Girish

“… We present a new kernel-based algorithm for modeling evenly distributed multidimensional datasets that does not rely on input space sparsification. The …”
Volltext

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm von Han, Min, Zhang, Shuhui, Xu, Meiling, Qiu, Tie, Wang, Ning

“… Kernel recursive least squares (KRLS) is a kind of kernel methods, which has attracted wide attention in the research of time series online prediction. It has …”
Volltext

Kernel Recursive Least Squares Algorithm Based on the Nystr }}}}m Method With k-Means Sampling von Zhang, Tao, Wang, Shiyuan, Huang, Xuewei, Jia, Lei

“… The kernel recursive least squares (KRLS) algorithm is used to improve the convergence rate and filtering accuracy of kernel adaptive filters (KAFs) in the …”
Volltext

Reduced kernel recursive least squares algorithm for aero-engine degradation prediction von Zhou, Haowen, Huang, Jinquan, Lu, Feng

“… •The novel method considers all the constraints generated by the whole training set.•The redundant data is used to modify the coefficients related to each …”
Volltext

Improved Kernel Recursive Least Squares Algorithm based Online Prediction for Nonstationary Time Series von Guo, Jinhua, Chen, Hao, Chen, Songhang

“… ) criterion based KRLS algorithm is combined with the quantized kernel recursive least squares algorithm to provide an initial framework …”
Volltext

Echo state kernel recursive least squares algorithm for machine condition prediction von Zhou, Haowen, Huang, Jinquan, Lu, Feng, Thiyagalingam, Jeyarajan, Kirubarajan, Thia

“… •A combination of reservoir computing and kernel adaptive filter.•The fixed reservoir facilitates the capability of performing long-term prediction.•The novel …”
Volltext

A novel extended kernel recursive least squares algorithm von Zhu, Pingping, Chen, Badong, Príncipe, José C.

“… In this paper, a novel extended kernel recursive least squares algorithm is proposed combining the kernel recursive least squares algorithm and the Kalman filter or its extensions to estimate or predict signals …”
Volltext

Kernel Recursive Least Squares Algorithm Based on the Nystr[Formula Omitted]m Method With [Formula Omitted]-Means Sampling von Zhang, Tao, Wang, Shiyuan, Huang, Xuewei, Jia, Lei

“… The kernel recursive least squares (KRLS) algorithm is used to improve the convergence rate and filtering accuracy of kernel adaptive filters (KAFs) in the …”
Volltext

Kernel Recursive Least Squares Algorithm for Transmitter-Induced Self-Interference Cancellation von Auer, C., Paireder, T., Huemer, M.

“… In order to enable frequency-division duplex operation, radio frequency transceivers usually employ a spectral isolation between transmitter and receiver. Due …”
Volltext

Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis von Zhou, Haowen, Huang, Jinquan, Lu, Feng

“… Kernel adaptive filtering (KAF) has gained widespread popularity among the machine learning community for online applications due to its convexity, simplicity, …”
Volltext

A novel extended kernel recursive least squares algorithm: Selected Papers from IJCNN 2011 von PINGPING ZHI, BADONG CHEN, PRINCIPE, José C

Volltext

Kernel Recursive Leastsquares Algorithm with Slidingwindow Approximately Linear Dependence Sparsification von CHEN Xujun,ZHU Yufang,HU Junhong,MA Deyu

“… Aiming at varied channel environment during test and training,this paper proposes a new Kernel Recursive Leastsquares(KRLS) algorithm with sliding-window …”
Volltext

The kernel recursive least-squares algorithm: Special issue on machine learning methods in signal processing von ENGEL, Yaakov, MANNOR, Shie, MEIR, Ron

Volltext

The Nearest-Instance-Centroid-Estimation Kernel Recursive Least Squares Algorithms von Zhang, Haonan, Wang, Lin, Zhang, Tao, Wang, Shiyuan

“… The nearest-instance-centroid-estimation kernel least mean-square (NICE-KLMS) algorithm has been proposed to balance the time and space requirements in kernel …”
Volltext

Prediction of Time Series Empowered with a Novel SREKRLS Algorithm von Shoaib, Bilal, Javed, Yasir, Adnan Khan, Muhammad, Ahmad, Fahad, Majeed, Rizwan, Saqib Nawaz, Muhammad, Adeel Ashraf, Muhammad, Iqbal, Abid, Idrees, Muhammad

“… For the unforced dynamical non-linear statespace model, a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is …”
Volltext

A New Sparse Kernel RLS Algorithm for Identification of Nonlinear Systems von Guo, Xinyu, Ou, Shifeng, Jiang, Menghua, Gao, Ying, Xu, Jindong, Cai, Zhuoran

“… The sliding window kernel recursive least squares (SW-KRLS) algorithm has been widely used in system identification because of its simple structure, low …”
Volltext