يعرض 21 - 40 نتائج من 449 نتيجة بحث عن '(( element method algorithm ) OR ((( data models algorithm ) OR ( based twisting algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 21

    DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

    منشور في 2022
    "…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
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    masterThesis
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    An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

    منشور في 2011
    "…For this purpose, software quality prediction models have been extensively used. However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …"
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    article
  4. 24

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

    منشور في 2010
    "…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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    article
  5. 25

    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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    masterThesis
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    A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

    منشور في 2025
    "…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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    article
  12. 32

    The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

    منشور في 2023
    "…In this article, we propose a framework that combines feature engineering techniques such as data imputation, transformation, and class balancing to compare the performance of different prediction models and select the best final model based on predefined parameters. …"
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    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

    منشور في 2024
    "…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
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