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Showing 1 - 20 results of 1,007 for search '(( python policy implementation ) OR ( python model predicting ))', query time: 0.45s Refine Results
  1. 1
    python3 software to reproduce Figs 6, 7 and 8.

    python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

    Published 2023
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  2. 2
    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms

    ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

    Published 2023
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  3. 3
    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology

    NLoed: A Python Package for Nonlinear Optimal Experimental Design in Systems Biology by Nathan Braniff (14149834)

    Published 2022
    “…Modeling in systems and synthetic biology relies on accurate parameter estimates and predictions. …”
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  4. 4
    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  5. 5
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  6. 6
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
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  7. 7
    GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour

    GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour by Felix Molter (8130300)

    Published 2019
    “…Here, we present GLAMbox, a Python-based toolbox that is built upon PyMC3 and allows the easy application of the gaze-weighted linear accumulator model (GLAM) to experimental choice data. …”
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  8. 8
    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AS single-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  9. 9
    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments.

    3D modeling qualities of the AM multiple-template models built with optimal HDDRs and alignments. by Giacomo Janson (8138517)

    Published 2019
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  10. 10
    Modeling with uniform <i>σ</i> values.

    Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

    Published 2019
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  11. 11
    The use of optimal parameters for HDDRs improves 3D modeling quality.

    The use of optimal parameters for HDDRs improves 3D modeling quality. by Giacomo Janson (8138517)

    Published 2019
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  12. 12
    Effects on 3D modeling of optimal <i>σ</i> values and DOPE.

    Effects on 3D modeling of optimal <i>σ</i> values and DOPE. by Giacomo Janson (8138517)

    Published 2019
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  13. 13
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  14. 14
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
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  15. 15
    Python3 implementation of the correlation-based regression algorithm.

    Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

    Published 2024
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  16. 16
    Distribution of <i>|Δd</i><sub><i>n</i></sub><i>|</i> and <i>σ</i><sub><i>MOD</i></sub> values.

    Distribution of <i>|Δd</i><sub><i>n</i></sub><i>|</i> and <i>σ</i><sub><i>MOD</i></sub> values. by Giacomo Janson (8138517)

    Published 2019
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  17. 17
    DOPE energy landscapes.

    DOPE energy landscapes. by Giacomo Janson (8138517)

    Published 2019
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  18. 18
    Correlation between <i>σ</i><sub><i>MOD</i></sub> and <i>|Δd</i><sub><i>n</i></sub><i>|</i> values in the AS models.

    Correlation between <i>σ</i><sub><i>MOD</i></sub> and <i>|Δd</i><sub><i>n</i></sub><i>|</i> values in the AS models. by Giacomo Janson (8138517)

    Published 2019
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  19. 19
    PHOTONAI explorer.

    PHOTONAI explorer. by Ramona Leenings (11167294)

    Published 2021
    Subjects: “…Science Policy…”
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  20. 20
    Python code.

    Python code. by Ryo Iwasaki (14210016)

    Published 2022
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