Search Results - the kernel recursive least-squares algorithm

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

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Kernel Recursive Least Squares Algorithm Based on the Nystr }}}}m Method With k-Means Sampling by 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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A novel extended kernel recursive least squares algorithm by 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 dictionary learning algorithm by Alipoor, Ghasem, Skretting, Karl

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Quantized Kernel Recursive Least Squares Algorithm by 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 by 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 by 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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Deep kernel recursive least-squares algorithm by 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 by 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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Reduced kernel recursive least squares algorithm for aero-engine degradation prediction by 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 by 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 by 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 short-term load forecasting using the kernel recursive least-squares algorithm by Chen Liu, Fasheng Liu

“…This paper presents a new approach for short-term load forecasting problem based on the kernel recursive least-square algorithm (KRLS…”
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The Nearest-Instance-Centroid-Estimation Kernel Recursive Least Squares Algorithms by Zhang, Haonan, Wang, Lin, Zhang, Tao, Wang, Shiyuan

“… In this brief, the NICE is developed under the least-squares errors in the kernel space, generating a novel NICE kernel recursive least squares (NICE-KRLS…”
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A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms by 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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Kernel Recursive Least Squares Algorithm Based on the Nystr[Formula Omitted]m Method With [Formula Omitted]-Means Sampling by 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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A kernel recursive minimum error entropy adaptive filter by Wang, Gang, Yang, Xinyue, Wu, Lei, Fu, Zhenting, Ma, Xiangjie, He, Yuanhang, Peng, Bei

“… In this brief, we propose a novel algorithm to blend the advantages of both the kernel recursive least squares algorithm and the minimum error entropy criterion, called kernel recursive minimum error entropy algorithm…”
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Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis by 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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Kernel Recursive Least Squares Algorithm for Transmitter-Induced Self-Interference Cancellation by 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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