يعرض 41 - 60 نتائج من 571 نتيجة بحث عن '(( element data algorithm ) OR ((( time processing algorithm ) OR ( data models algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 41

    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
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    Correlation Clustering with Overlaps حسب Fakhereldine, Amin

    منشور في 2020
    "…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. 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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    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…Further, EEG is utilized as inner channel complementing speech for more authoritative recognition, by extracting multiple features belonging to time, frequency, and time–frequency. For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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    A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

    منشور في 2024
    "…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems حسب Saab, S. S.

    منشور في 2005
    "…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …"
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    article
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    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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    Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

    منشور في 2025
    "…The data forecasting horizon used was a 24-h window in steps of 30 min. …"