Suchergebnisse - "the kernel recursive least-squares algorithm"
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The kernel recursive least-squares algorithm
ISSN: 1053-587X, 1941-0476Veröffentlicht: New York IEEE 01.08.2004Veröffentlicht in IEEE transactions on signal processing (01.08.2004)“… 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
ISSN: 1053-587XVeröffentlicht: New York, NY Institute of Electrical and Electronics Engineers 2004Veröffentlicht in IEEE transactions on signal processing (2004)Volltext
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The short-term load forecasting using the kernel recursive least-squares algorithm
ISBN: 1424464951, 9781424464951ISSN: 1948-2914Veröffentlicht: IEEE 01.10.2010Veröffentlicht in 2010 3rd International Conference on Biomedical Engineering and Informatics (01.10.2010)“… 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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A novel extended kernel recursive least squares algorithm
ISSN: 0893-6080, 1879-2782, 1879-2782Veröffentlicht: United States Elsevier Ltd 01.08.2012Veröffentlicht in Neural networks (01.08.2012)“… 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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A kernel recursive minimum error entropy adaptive filter
ISSN: 0165-1684, 1872-7557Veröffentlicht: Elsevier B.V 01.04.2022Veröffentlicht in Signal processing (01.04.2022)“… 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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Kernel adaptive filtering: a comprehensive introduction
ISBN: 9780470447536, 0470447532, 0470608587, 9780470608586, 9780470608593, 0470608595Veröffentlicht: Hoboken, N.J Wiley 2010“… Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for …”
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Kernel Risk-Sensitive Mean p-Power Error Algorithms for Robust Learning
ISSN: 1099-4300, 1099-4300Veröffentlicht: Basel MDPI AG 13.06.2019Veröffentlicht in Entropy (Basel, Switzerland) (13.06.2019)“… As a nonlinear similarity measure defined in the reproducing kernel Hilbert space (RKHS), the correntropic loss (C-Loss) has been widely applied in robust …”
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Spline-Based Adaptive Cancellation of Even-Order Intermodulation Distortions in LTE-A/5G RF Transceivers
ISSN: 0018-9545, 1939-9359Veröffentlicht: New York IEEE 01.06.2021Veröffentlicht in IEEE transactions on vehicular technology (01.06.2021)“… Radio frequency transceivers operating in in-band full-duplex or frequency-division duplex mode experience strong transmitter leakage. Combined with receiver …”
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Kernel methods for short-term spatio-temporal wind prediction
ISSN: 1932-5517Veröffentlicht: IEEE 01.07.2015Veröffentlicht in 2015 IEEE Power & Energy Society General Meeting (01.07.2015)“… The kernel recursive least squares algorithm is shown to offer significant improvement over all benchmarks, particularly for longer forecast horizons …”
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Spline-Based Adaptive Cancellation of Even-Order Intermodulation Distortions in LTE-A/5G RF Transceivers
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 07.06.2021Veröffentlicht in arXiv.org (07.06.2021)“… Radio frequency transceivers operating in in-band full-duplex or frequency-division duplex mode experience strong transmitter leakage. Combined with receiver …”
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On-Line Kernel Learning: An Adaptive-Filtering Perspective
ISBN: 9780470447536, 0470447532Veröffentlicht: Wiley-Blackwell 20.09.2011“… Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for …”
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Kernel-Based Adaptive Critic Designs for Optimal Control of Nonlinear Discrete-Time System
ISSN: 1934-1768Veröffentlicht: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018Veröffentlicht in Chinese Control Conference (01.07.2018)“… Because it is necessary to solve the nonlinear Hamilton-Jacobi-Bellman (HJB) partial differential equations or the nonlinear two-point boundary value problems, …”
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