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Showing 21 - 40 results of 1,742 for search 'element ((((modeling algorithm) OR (clustering algorithm))) OR (mining algorithm))', query time: 0.64s Refine Results
  1. 21
    Models and procedure used to develop the algorithm.

    Models and procedure used to develop the algorithm. by Erick A. Perez Alday (685437)

    Published 2015
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  2. 22
    Benchmark against <b>element.</b>

    Benchmark against <b>element.</b> by Ivan Komarov (120593)

    Published 2014
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  3. 23
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  4. 24
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  5. 25
    Table showing the results of a <i>k</i>-nearest neighbor (<i>k</i>NN) classifier using maximum likelihood (ML) trees reconstructed with alignments of 1,000 bp and 10,000 bp.

    Table showing the results of a <i>k</i>-nearest neighbor (<i>k</i>NN) classifier using maximum likelihood (ML) trees reconstructed with alignments of 1,000 bp and 10,000 bp. by Fabrícia F. Nascimento (404157)

    Published 2016
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  6. 26
    Jensen-Shannon divergences (JSDs) between SMM-i and TM-i for true trees.

    Jensen-Shannon divergences (JSDs) between SMM-i and TM-i for true trees. by Fabrícia F. Nascimento (404157)

    Published 2016
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  7. 27
    Jensen-Shannon divergences (JSDs) between SMM-i and TM-i for ML trees using alignments of 1,000 bp and 10,000 bp.

    Jensen-Shannon divergences (JSDs) between SMM-i and TM-i for ML trees using alignments of 1,000 bp and 10,000 bp. by Fabrícia F. Nascimento (404157)

    Published 2016
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  8. 28
    Jensen-Shannon divergences (JSDs) between SMM-m and TM-m for true trees.

    Jensen-Shannon divergences (JSDs) between SMM-m and TM-m for true trees. by Fabrícia F. Nascimento (404157)

    Published 2016
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  9. 29
    Jensen-Shannon divergences (JSDs) between SMM-m and TM-m for ML trees using alignments of 1,000 bp and 10,000 bp.

    Jensen-Shannon divergences (JSDs) between SMM-m and TM-m for ML trees using alignments of 1,000 bp and 10,000 bp. by Fabrícia F. Nascimento (404157)

    Published 2016
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  10. 30
    A schematic illustration of a provirus genome.

    A schematic illustration of a provirus genome. by Fabrícia F. Nascimento (404157)

    Published 2016
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  11. 31
    Average running time of algorithms across all simulations.

    Average running time of algorithms across all simulations. by Polina Bombina (18784215)

    Published 2024
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  12. 32
    Finite element models used.

    Finite element models used. by Bartłomiej Grychtol (613117)

    Published 2014
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  13. 33
    Hierarchical relationship of sequence contexts and key algorithmic elements of Baymer.

    Hierarchical relationship of sequence contexts and key algorithmic elements of Baymer. by Christopher J. Adams (1847317)

    Published 2023
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  14. 34
    Feature factors importance ranking of RF model.

    Feature factors importance ranking of RF model. by Xianyu Yu (8562045)

    Published 2022
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  15. 35
    Performance of the algorithms when the number of elements by class correspond to <i>Ne</i> = 5, 50, 500, 5000.

    Performance of the algorithms when the number of elements by class correspond to <i>Ne</i> = 5, 50, 500, 5000. by Mayra Z. Rodriguez (6208337)

    Published 2019
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  16. 36
    Determination of essential phenotypic elements of clusters in high-dimensional entities—DEPECHE

    Determination of essential phenotypic elements of clusters in high-dimensional entities—DEPECHE by Axel Theorell (6433127)

    Published 2019
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  17. 37
    Finite element models of the pipes.

    Finite element models of the pipes. by Delong Huang (10271165)

    Published 2022
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  18. 38
    Customer point clustering results.

    Customer point clustering results. by Yingbo Mao (22522192)

    Published 2025
    “…First, an improved K-means algorithm (IKM) is used to cluster customer points under the constraint of the UAV’s maximum flight radius, so as to determine vehicle parking points. …”
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  19. 39
    Finite element model of the finger segment.

    Finite element model of the finger segment. by Jean Chenevier (4875877)

    Published 2018
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  20. 40
    Parallel pipeline elements.

    Parallel pipeline elements. by Ramona Leenings (11167294)

    Published 2021
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