يعرض 1 - 15 نتائج من 15 نتيجة بحث عن '(( complement cosine algorithm ) OR ((( second rf algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
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    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

    منشور في 2022
    "…When comparing the actual and anticipated ground loss, the SVR performed best (R<sup>2</sup> = 0.79–0.93) as compared to the other two algorithms i.e., LR (R<sup>2</sup> = 0.73 to 0.92), and RF (R<sup>2</sup> = 0.53 to 0.89) for the three fields. …"
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    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

    منشور في 2022
    "…Extracted vegetation indices were evaluated on three ML algorithms, namely, random forest (RF), k-nearest neighbour (K-NN), and k dimensional-tree (KD-Tree). …"
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

    منشور في 2023
    "…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"
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    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
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    Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models حسب AL SHAMSI, ARWA AHMED

    منشور في 2023
    "…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"