Showing 1 - 20 results of 65 for search '(( elements b algorithm ) OR ((( context learning algorithm ) OR ( neural coding algorithm ))))', query time: 0.20s Refine Results
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    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context by SALIM, MAHA JAWDAT

    Published 0024
    “…Machine learning algorithms can process large and complex datasets to identify patterns and trends that may not be immediately apparent. …”
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    Decision trees by Srour, F. Jordan

    Published 2026
    “…An overview of the basic theory behind decision trees coupled with a summary of binary, multi-way, robust, and optimal decision tree algorithms support social scientists in the use of these supervised machine learning tools for both exploratory and predictive analytic contexts.…”
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    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…Results Results show that our approach out-performs the machine learning algorithm C4.5 as well as random guessing. …”
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    The role of Reinforcement Learning in software testing by Amr Abo-eleneen (17032284)

    Published 2023
    “…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…”
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    NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

    Published 2022
    “…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …”
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    Identification of phantom movements with an ensemble learning approach by Akhan Akbulut (17380285)

    Published 2022
    “…In the current study, we utilized ensemble learning algorithms for the recognition and classification of phantom movements of the different amputation levels of the upper and lower extremity. …”