Five machine learning algorithms (Support Vector Machine, K-Nearest Neighbors, Decision Tree, Random Forest, and Naïve Bayes) were used for face mask wearing image classification. From the results, the worst to the best models were K-Nearest Neighbors, Naïve Bayes, Support Vector Machine, ...
Since the 2000s, machine learning algorithms such as random forest (RF) and support vector machine (SVM) were widely applied to crop classification with remote sensing data [29–34]. Along with the aforementioned issues related to crop classification with UAV images and selection of appropriate ...
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We extend the fault tolerance of iterative-convergent machine learning algorithms and propose the Dynamic Finite Fault Tolerance (DFFT). Based on the DFFT, we implement a parameter communication optimization strategy for distributed machine learning, named Dynamic Synchronous Parallel Strategy (DSP), ...
1. Introduction Machine learning (ML) took over the whole artificial intelligence (AI) world, intro- ducing computers' self-adaptation and autonomous learning capabilities to the various areas of science and technology. These applications are not restricted anymore to predictive modeling but are also...
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Currently, several algorithms have been successfully applied to determine the control parameters of SVM, such as genetic algorithms [13], particle swarm optimization [14], differential evolution [15] and so on. However, those algorithms have the defects of being hard to control, achieving the ...