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Showing 61 - 80 results of 13,383 for search '(( algorithm b functional ) OR ((( algorithm python function ) OR ( algorithm 1 function ))))', query time: 0.82s Refine Results
  1. 61
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
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  2. 62
    The results of LASSO regression algorithm.

    The results of LASSO regression algorithm. by Xue Fu (549661)

    Published 2025
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  3. 63
    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>"

    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

    Published 2024
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  4. 64
    Convergence curves of the mean function error values for six test functions at <i>D</i> = 30.

    Convergence curves of the mean function error values for six test functions at <i>D</i> = 30. by Meijun Duan (7461293)

    Published 2019
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  5. 65
    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations.

    The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

    Published 2021
    “…<p>(A) Overview of the experimental approach (B) Schematic of the eVIP decision tree-based eVIP algorithm. …”
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  6. 66
    Two equivalent switching functions and their switching circuits.

    Two equivalent switching functions and their switching circuits. by Alrik Thiem (4008182)

    Published 2020
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  7. 67
    Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function.

    Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

    Published 2020
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  8. 68
    Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function.

    Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

    Published 2020
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  9. 69
    Algorithm of genetic workup.

    Algorithm of genetic workup. by Idoia Martinez de Lapiscina (16528261)

    Published 2023
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  10. 70
    The algorithm for the same-day surgery protocol.

    The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

    Published 2021
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  11. 71
    Phosphorylation-specific motifs identified by the Motif-X algorithm.

    Phosphorylation-specific motifs identified by the Motif-X algorithm. by Xiaoxiao Qin (9247765)

    Published 2020
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  12. 72
    F1-Score of different algorithms for TMD on SHL dataset.

    F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

    Published 2025
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  13. 73
    F1-Score of different algorithms for TMD on HTC dataset.

    F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

    Published 2025
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  14. 74
    Illustration of the unrestricted model and its training algorithm.

    Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

    Published 2025
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  15. 75
    Schematic diagram of compensation function.

    Schematic diagram of compensation function. by Yuki Kubota (10231766)

    Published 2021
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  16. 76
    Gaussian function surface with different σs.

    Gaussian function surface with different σs. by JianWu Long (10731271)

    Published 2021
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  17. 77
    Functional annotations of peaks.

    Functional annotations of peaks. by Azusa Tanaka (540528)

    Published 2020
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  18. 78
    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP.

    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

    Published 2023
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  19. 79
    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9.

    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. by Quynh-Anh Nguyen (847240)

    Published 2020
    “…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i><sub><i>in</i></sub> neuronal units. …”
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  20. 80
    Great machine learning performance with multiple classification algorithms.

    Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

    Published 2023
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