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Showing 101 - 120 results of 5,587 for search '(( algorithm python function ) OR ( algorithms learning functions ))', query time: 1.03s Refine Results
  1. 101
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

    Published 2025
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  2. 102
    The results of ICA performed using PyNoetic.

    The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  3. 103
    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.

    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

    Published 2025
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  4. 104
    Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module.

    Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

    Published 2025
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  5. 105
    A typical BCI system depicting the flow and processing of EEG data.

    A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

    Published 2025
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  6. 106
    Optimization results of 23 benchmark functions.

    Optimization results of 23 benchmark functions. by Ting Yang (189879)

    Published 2023
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  7. 107
    Iteration curves of different algorithms.

    Iteration curves of different algorithms. by Tengfei Ma (597633)

    Published 2025
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  8. 108
    Flowchart of OP-ZOA algorithm.

    Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

    Published 2025
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  9. 109
    Learning performance.

    Learning performance. by Lulu Gong (18707874)

    Published 2024
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  10. 110
    Definition to deep learning.

    Definition to deep learning. by Zhongzhong Guo (12133402)

    Published 2022
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  11. 111
    Performance of double contrast learning, self-supervised contrast learning and no contrast learning.

    Performance of double contrast learning, self-supervised contrast learning and no contrast learning. by Bing Zhang (129)

    Published 2024
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  12. 112
    Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF

    Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

    Published 2020
    “…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”
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  13. 113
    Benchmark functions.

    Benchmark functions. by Yun Qi (560401)

    Published 2025
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  14. 114
    Average running time of different algorithms.

    Average running time of different algorithms. by Wei Liu (20030)

    Published 2022
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  15. 115
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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  16. 116
    Network Gradient Descent Algorithm for Decentralized Federated Learning

    Network Gradient Descent Algorithm for Decentralized Federated Learning by Shuyuan Wu (57425)

    Published 2022
    “…<p>We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. …”
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  17. 117
    The obtained cost function values with respect to each run of different algorithms.

    The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

    Published 2023
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  18. 118
    Performance comparison of mainstream algorithms.

    Performance comparison of mainstream algorithms. by Junjie Lu (160350)

    Published 2025
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  19. 119
    Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy'

    Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' by Fanzhi Su (21005174)

    Published 2025
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  20. 120
    Comparison of results of different algorithms.

    Comparison of results of different algorithms. by Zhongzhong Guo (12133402)

    Published 2022
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