Suchergebnisse - (( kernel recursive least squares algorithm ) OR ( kernel recursive post squares algorithm ))

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 …”
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Kernel recursive least squares dictionary learning algorithm von Alipoor, Ghasem, Skretting, Karl

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Sparse Sliding-Window Kernel Recursive Least-Squares Channel Prediction for Fast Time-Varying MIMO Systems von Ai, Xingxing, Zhao, Jiayi, Zhang, Hongtao, Sun, Yong

“… The kernel recursive least-squares (KRLS) algorithm, which offers an attractive framework to deal with nonlinear problems, can be used in predicting nonlinear time-varying CSI …”
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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 …”
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Extended Kernel Recursive Least Squares Algorithm von Weifeng Liu, Il Park, Yiwen Wang, Principe, J.C.

“… The EX-KRLS is preferable to 1) a standard kernel recursive least squares (KRLS) in applications …”
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Quaternion kernel recursive least-squares algorithm von Wang, Gang, Qiao, Jingci, Xue, Rui, Peng, Bei

“… In this paper, we study a kernel recursive least squares (KRLS) algorithm in the quaternion domain …”
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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 …”
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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 …”
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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 …”
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Kernel Recursive Maximum Versoria Criterion Based Post-Distorter for VLC Using Kernel-Width Sampling von Jain, Sandesh, Mitra, Rangeet, Krejcar, Ondrej, Nebhen, Jamel, Bhatia, Vimal

“… ) based kernel recursive maximum Versoria criterion (KRMVC) based post-distortion algorithm is proposed, which delivers better performance as compared to the classical polynomial series, and kernel recursive least squares (KRLS …”
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Reduced kernel recursive least squares algorithm for aero-engine degradation prediction von Zhou, Haowen, Huang, Jinquan, Lu, Feng

“… •The redundant data is used to modify the coefficients related to each kernel unit.•The structure update and coefficient adjustment are carried out independently …”
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Improved Kernel Recursive Least Squares Algorithm based Online Prediction for Nonstationary Time Series von Guo, Jinhua, Chen, Hao, Chen, Songhang

“… We present an improved kernel recursive least squares (KRLS) algorithm for the online prediction of nonstationary time series …”
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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 …”
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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 adaptive filters …”
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Evolving Takagi–Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method von Shafieezadeh-Abadeh, Soroosh, Kalhor, Ahmad

“… In this paper, we introduce an evolving system utilizing sparse weighted kernel least square as local models and online Gustafson-Kessel clustering algorithm for structure identification …”
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A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms von Wang, Shiyuan, Wang, Wanli, Duan, Shukai

“… In this brief, a class of weighted quantized kernel recursive least squares (WQKRLS) algorithms is proposed to efficiently improve the performance of online applications …”
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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 …”
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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 …”
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Kernel Recursive Least Squares Algorithm for Transmitter-Induced Self-Interference Cancellation von Auer, C., Paireder, T., Huemer, M.

“… In this work, we apply a kernel-based universal estimation algorithm, in particular the kernel recursive least squares (KRLS …”
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Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis von Zhou, Haowen, Huang, Jinquan, Lu, Feng

“… To address this issue, a pruning approach that attempts to restrict the network size to a fixed value is incorporated into a kernel recursive least squares (KRLS …”
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