Suchergebnisse - "Robust learning algorithm"
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A robust learning algorithm based on support vector regression and robust fuzzy cerebellar model articulation controller
ISSN: 0924-669X, 1573-7497Veröffentlicht: Boston Springer US 01.08.2008Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.08.2008)“… For real-world applications, the obtained data are always subject to noise or outliers …”
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Robust Learning Algorithms for Task Scheduling in MEC-Enabled IoT Networks
ISSN: 2473-2400, 2473-2400Veröffentlicht: IEEE 2025Veröffentlicht in IEEE transactions on green communications and networking (2025)“… To this end, in this paper, we provide a Robust-Return Constrained Markov Decision Process (R2CMDP) formulation to minimize the worst-case total discounted power consumption subject to a constraint on the total discounted deadline violation …”
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An online performance monitoring method for analog circuit
ISSN: 2378-363XVeröffentlicht: IEEE 01.07.2016Veröffentlicht in IEEE International Conference on Industrial Informatics (INDIN) (01.07.2016)“… Here an online performance monitoring method for analog circuit (OPM) subject to the data uncertainty is proposed …”
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Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)
ISSN: 1063-6706, 1941-0034Veröffentlicht: New York IEEE 01.12.2017Veröffentlicht in IEEE transactions on fuzzy systems (01.12.2017)“… -performance and robust learning algorithms that can effectively handle individual differences, i.e …”
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Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 09.02.2017Veröffentlicht in arXiv.org (09.02.2017)“… -performance and robust learning algorithms that can effectively handle individual differences, i.e …”
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Robust decision making and its applications in machine learning
ISBN: 0494618043, 9780494618042Veröffentlicht: ProQuest Dissertations & Theses 01.01.2009“… The obtained strategy can be highly sub-optimal and/or infeasible when parameters are subject to uncertainty, a typical situation in practice …”
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Dissertation

