يعرض 101 - 120 نتائج من 9,086 نتيجة بحث عن '(( algorithm python function ) OR ((( algorithm from function ) OR ( algorithm cl functions ))))', وقت الاستعلام: 0.57s تنقيح النتائج
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    Detailed information of benchmark functions. حسب Guangwei Liu (181992)

    منشور في 2024
    "…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …"
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    Signal detection algorithm adapted from [1] yields exponential distributions and unrealistic mean durations of percepts. حسب Quynh-Anh Nguyen (847240)

    منشور في 2020
    "…(Bottom) Trial-by-trial applications of the signal detection algorithm from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>] with A: <i>C</i><sub><i>th</i></sub> = 4.01 and B: <i>C</i><sub><i>th</i></sub> = 4.21 yield exponentially distributed subsequent percept durations for <i>I</i> (blue) and <i>S</i> (red). …"
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    Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

    منشور في 2023
    "…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"
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    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

    منشور في 2024
    "…Whiskers show the lowest and highest values within 1.5 × <i>IQR</i> from the first and third quartiles, respectively. …"
  11. 111

    Table 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.xlsx حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
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    Image 1_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
  13. 113

    Image 4_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
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    Image 5_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
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    Image 3_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
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    Image 2_Comprehensive analysis of anoikis-related gene signature in ulcerative colitis using machine learning algorithms.tiff حسب Peng Liu (120506)

    منشور في 2025
    "…Key anoikis-DEGs in UC were identified using three machine learning algorithms, including least absolute shrinkage and selection operator (LASSO) Cox regression, random forest (RF), and support vector machine (SVM). …"
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    Route for bays29 output by ABSQL algorithm. حسب Jin Zhang (53297)

    منشور في 2023
    "…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …"
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