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Showing 1 - 20 results of 33 for search '(( genes based bayesian optimization algorithm ) OR ( binary data swarm optimization algorithm ))', query time: 1.01s Refine Results
  1. 1
    Optimal ALARM BN discovered by CausNet.

    Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

    Published 2025
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  2. 2
    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial.

    Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

    Published 2025
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  3. 3
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  4. 4
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  5. 5
    FDR and Runtime for ALARM.

    FDR and Runtime for ALARM. by Nand Sharma (21519845)

    Published 2025
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  6. 6
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  7. 7
    FDR ().

    FDR (). by Nand Sharma (21519845)

    Published 2025
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  8. 8
    ALARM networks with different partial orderings.

    ALARM networks with different partial orderings. by Nand Sharma (21519845)

    Published 2025
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  9. 9
    Average Runtime in seconds.

    Average Runtime in seconds. by Nand Sharma (21519845)

    Published 2025
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  10. 10
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  11. 11
    Average FDR with and .

    Average FDR with and . by Nand Sharma (21519845)

    Published 2025
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  12. 12
    Subset lattice for partial orderings with on four nodes .

    Subset lattice for partial orderings with on four nodes . by Nand Sharma (21519845)

    Published 2025
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  13. 13
    Subset lattices with parent set constraints.

    Subset lattices with parent set constraints. by Nand Sharma (21519845)

    Published 2025
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  14. 14
    Average Hamming Distance with and .

    Average Hamming Distance with and . by Nand Sharma (21519845)

    Published 2025
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  15. 15
    Subset lattice for BNs with four nodes .

    Subset lattice for BNs with four nodes . by Nand Sharma (21519845)

    Published 2025
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  16. 16
    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example.

    Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example. by Nand Sharma (21519845)

    Published 2025
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  17. 17
    LITNET-2020 data splitting approach.

    LITNET-2020 data splitting approach. by Asmaa Ahmed Awad (16726315)

    Published 2023
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  18. 18
    DataSheet1_Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network Inference.PDF

    DataSheet1_Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network Inference.PDF by Deniz Seçilmiş (13028616)

    Published 2022
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  19. 19
    DataSheet1_Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network Inference.PDF

    DataSheet1_Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network Inference.PDF by Deniz Seçilmiş (13028616)

    Published 2022
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  20. 20
    Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model

    Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model by Getachew S. Molla (6416744)

    Published 2019
    “…Because of the semipredictive nature of the symmetric eNRTL-SAC model, the segment parameter regression is a critical step for solubility prediction accuracy. A particle swarm optimization algorithm is incorporated to preregress conceptual segment parameters of solutes. …”
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