An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity
Abstract: Support vector machines (SVMs) are successful supervised learning models that analyze data for classification and regression. Previous work has demonstrated the superiority of the SVMs in ...
Abstract: With the advent of agriculture 4.0 era, the combination of agriculture and unmanned technology has promoted the development of intelligent agriculture. However, there are relatively few ...
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