يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '(( elements mean algorithm ) OR ((( data processing algorithm ) OR ( data models algorithm ))))~', وقت الاستعلام: 0.55s تنقيح النتائج
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    Mean squared Error on all unseen data. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    Possible graph filter functions. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    The notational conventions used in this paper. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO<sub>3</sub>–BiMeO<sub>3</sub> Ceramics حسب Jian Liu (33711)

    منشور في 2025
    "…After that, multiple machine learning algorithm models were built to train and predict <i>W</i><sub>rec</sub> and η. …"
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    High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process حسب Alexis Boulin (20659921)

    منشور في 2025
    "…This class of models is identifiable, meaning that there exists a maximal element with a partial order between partitions, allowing for statistical inference. …"
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    Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... حسب Jian Yang (12136)

    منشور في 2025
    "…Participants were recruited through stratified convenience sampling to ensure a broad geographical and professional representation. Data were collected through a validated questionnaire and analyzed using ANOVA, regression analysis, decision tree models, and random forest algorithms. …"
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    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

    منشور في 2025
    "…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…"