Search Results - (( variable transition selection algorithm ) OR ( java active learning algorithm ))

Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Selective exposure in the digital age: a systematic review of the mechanisms, contexts, and sociopsychology implications for media ecosystems(2013-2023) by Chi, Jinglin, Kamarudin, Syafila

“…Take selective exposure as both an independent and dependent variable for inclusion within conceptual frameworks is identified, and its role as a mediating and moderating variable is identified reflecting both theoretical suitability and empirical importance. …”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…Several independent variables which are scalability, threshold, data distributions, and dimensionality are selected to determine their effects on two dependent variables. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

“…However, the performance of these algorithms in situations with closely comparable risk magnitudes remains uncertain. …”
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