يعرض 1 - 20 نتائج من 22 نتيجة بحث عن '(( binary based arm optimization algorithm ) OR ( primary data step optimization algorithm ))*', وقت الاستعلام: 0.56s تنقيح النتائج
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    Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level حسب Giovanni Nattino (561797)

    منشور في 2021
    "…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …"
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    Dendrogram of the stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    Descriptive statistics on stock prices. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    Correlation heatmap of the principal components. حسب Muhammad Hilal Alkhudaydi (21560690)

    منشور في 2025
    "…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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    Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

    منشور في 2023
    "…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …"
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    SBM 2023 Poster: Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study حسب Junghwan Park (15195436)

    منشور في 2023
    "…</p> <p><strong>Objectives: </strong>To develop and validate algorithms that predict walking (i.e., >5 minutes) within the next 3 hours, predicted from the participants’ previous five weeks’ steps per minute data.…"
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    Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX حسب Paul Grzesik (11136582)

    منشور في 2021
    "…Here we present the implementation of a machine learning pipeline into the DoE-based design of cell culture media to optimize T cell cultures in one experimental step (one-time optimization). …"
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    Early Parkinson’s disease identification via hybrid feature selection from multi-feature subsets and optimized CatBoost with SMOTE حسب Subhashree Mohapatra (17387852)

    منشور في 2025
    "…The proposed framework leverages a strong categorical boosting (CatBoost) algorithm optimized using Grid Search Optimization (GSO). …"
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    Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

    منشور في 2019
    "…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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    Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

    منشور في 2019
    "…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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    Table_1_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.docx حسب Hui Tang (226667)

    منشور في 2019
    "…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"
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    Table_3_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLS حسب Hui Tang (226667)

    منشور في 2019
    "…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …"