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Showing 1 - 20 results of 13,198 for search '(((( algorithm python function ) OR ( algorithm 1 function ))) OR ( algorithm loss function ))', query time: 0.96s Refine Results
  1. 1
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
    “…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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  2. 2
    Loss function variation curve.

    Loss function variation curve. by Chunhua Yang (346871)

    Published 2025
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  3. 3
    Listed python codes of our algorithm with explanations (Python 3.9 recommended).

    Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

    Published 2023
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  4. 4
    Recursive attention function and loss function change.

    Recursive attention function and loss function change. by Wang Linfeng (17102068)

    Published 2023
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  5. 5
    Comparison of details of different algorithms.

    Comparison of details of different algorithms. by Hao Wu (65943)

    Published 2024
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  6. 6
    Structure of the LMPEC algorithm model.

    Structure of the LMPEC algorithm model. by Hao Wu (65943)

    Published 2024
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  7. 7
    Sub-network model structure in the LMPEC algorithm.

    Sub-network model structure in the LMPEC algorithm. by Hao Wu (65943)

    Published 2024
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  8. 8
    Probably pathogenic variants (algorithms).

    Probably pathogenic variants (algorithms). by Felipe Fidalgo (642532)

    Published 2022
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  9. 9
    Slicing aided hyper inference algorithm.

    Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

    Published 2025
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  10. 10
    Loss Function Comparison.

    Loss Function Comparison. by Hongwei Yue (574068)

    Published 2025
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  11. 11
    Loss Function Comparison.

    Loss Function Comparison. by Hongwei Yue (574068)

    Published 2025
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  12. 12
    Loss function and accuracy curve comparison.

    Loss function and accuracy curve comparison. by Dayu Zhang (710629)

    Published 2025
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  13. 13
    Convergence curve of unimodal functions compared with the PSO family algorithms.

    Convergence curve of unimodal functions compared with the PSO family algorithms. by Yong Gao (29929)

    Published 2023
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  14. 14
    Convergence curve of unimodal functions compared with the meta-heuristic algorithms.

    Convergence curve of unimodal functions compared with the meta-heuristic algorithms. by Yong Gao (29929)

    Published 2023
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  15. 15
    Limitation of the conventional DBT reconstruction algorithm.

    Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

    Published 2022
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  16. 16
    Antihypertensive treatment algorithm.

    Antihypertensive treatment algorithm. by Kira Bang Bove (9607123)

    Published 2020
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  17. 17
    Performance comparison of YOLOv8n adding different loss functions.

    Performance comparison of YOLOv8n adding different loss functions. by Wenyuan Xu (2553028)

    Published 2025
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  18. 18
    Graph of YOLOv8n detection results with different loss functions.

    Graph of YOLOv8n detection results with different loss functions. by Wenyuan Xu (2553028)

    Published 2025
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  19. 19
    Changes in the loss function value on the validation set.

    Changes in the loss function value on the validation set. by Kyung Won Kwon (18150416)

    Published 2024
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  20. 20
    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    Published 2025
    “…For a RDKit molecule, it provides (i) a PNG binary string with an image of the molecule with color-highlighted functional groups; (ii) a list of sets of atom indices (idx), each set corresponding to a functional group; (iii) a list of pseudo-SMILES canonicalized strings for the full functional groups; and (iv) a list of RDKit labeled mol objects, one for each full functional group. …”
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