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Showing 1 - 20 results of 1,651 for search 'element ((((modeling algorithm) OR (boosting algorithm))) OR (matching algorithm))', query time: 0.67s Refine Results
  1. 1
    Test results of the classification algorithm.

    Test results of the classification algorithm. by Juan Liu (6492)

    Published 2023
    “…The algorithm uses keyword matching, text analysis, and semantic processing to determine news content’s boundaries and key information. …”
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  2. 2
    values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradient Boosting (GB) and AdaBoost (AB).

    values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradie... by Itxasne Antúnez Sáenz (22794696)

    Published 2025
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  3. 3
    The percentages of error for the predicted post-operative cephalic indexes by each machine learning algorithm (LR, SVM, DT, RF, GB, and XGB represent linear regression, support vector regression, decision tree, random forest, gradient boosting, and extended gradient boosting respectively).

    The percentages of error for the predicted post-operative cephalic indexes by each machine learning algorithm (LR, SVM, DT, RF, GB, and XGB represent linear regression, support vec... by Jenson Jacob (17468087)

    Published 2023
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  4. 4
    Elements of the spectral estimation algorithm.

    Elements of the spectral estimation algorithm. by Mark D. Humphries (11068147)

    Published 2021
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  5. 5
    General pseudocode MAP algorithm.

    General pseudocode MAP algorithm. by Erick J. Canales-Rodríguez (219368)

    Published 2015
    “…</p><p>General pseudocode MAP algorithm.</p>…”
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  6. 6
    DELTA: A Distal Enhancer Locating Tool Based on AdaBoost Algorithm and Shape Features of Chromatin Modifications

    DELTA: A Distal Enhancer Locating Tool Based on AdaBoost Algorithm and Shape Features of Chromatin Modifications by Yiming Lu (757783)

    Published 2015
    “…Integrating shape features with a machine-learning algorithm AdaBoost, we developed an enhancer predicting method, DELTA (Distal Enhancer Locating Tool based on AdaBoost). …”
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  7. 7
    Pictorial Representation of cP systems implementation of basic Loopy Belief Propagation for Stereo Matching

    Pictorial Representation of cP systems implementation of basic Loopy Belief Propagation for Stereo Matching by James Cooper (4073722)

    Published 2020
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  8. 8
    Differential element in rectangular coordinates.

    Differential element in rectangular coordinates. by Chaoyi Zhang (11741983)

    Published 2021
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  9. 9
    Multi-Objective Optimisation Algorithms for Finite Element Model Updating.

    Multi-Objective Optimisation Algorithms for Finite Element Model Updating. by Evangelos Ntotsios (98103)

    Published 2012
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  10. 10
    Impact of proper edge-coloring on graph-matching.

    Impact of proper edge-coloring on graph-matching. by Antoine Soulé (10892783)

    Published 2021
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  11. 11
    Example measurement and analysis units for landscape elements.

    Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

    Published 2025
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  12. 12
    Our pose-invariant feature sets for 3 horse models with different poses.

    Our pose-invariant feature sets for 3 horse models with different poses. by Hairong Jin (12250927)

    Published 2022
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  13. 13
    Relative Morph Match Rates (RMMRs).

    Relative Morph Match Rates (RMMRs). by Roman Kessler (2559916)

    Published 2024
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  14. 14
    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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  15. 15
    Calculation algorithm implementing the proposed model.

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

    Published 2025
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  16. 16
    Calculation algorithm implementing the proposed model.

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

    Published 2025
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  17. 17
    Finite element models used.

    Finite element models used. by Bartłomiej Grychtol (613117)

    Published 2014
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  18. 18
    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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  19. 19
    The power iteration algorithm demonstrates how complicated dynamic structures arise from topologically connected elements of similar magnitude within the Jacobian matrix.

    The power iteration algorithm demonstrates how complicated dynamic structures arise from topologically connected elements of similar magnitude within the Jacobian matrix. by Bin Du (138774)

    Published 2017
    “…(B) Topologically connected Jacobian elements of similar magnitude determine complicated eigenvector structure. …”
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  20. 20
    Finite element models of the pipes.

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

    Published 2022
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