首页|Findings from Universidad del Norte in Support Vector Machines Reported (A dista nce-based kernel for classification via Support Vector Machines)
Findings from Universidad del Norte in Support Vector Machines Reported (A dista nce-based kernel for classification via Support Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on have been publish ed. According to news originating from Barranquilla, Colombia, by NewsRx corresp ondents, research stated, "Support Vector Machines (SVMs) are a type of supervis ed machine learning algorithm widely used for classification tasks." The news editors obtained a quote from the research from Universidad del Norte: "In contrast to traditional methods that split the data into separate training a nd testing sets, here we propose an innovative approach where subsets of the ori ginal data are randomly selected to train the model multiple times. This iterati ve training process aims to identify a representative data subset, leading to im proved inferences about the population. Additionally, we introduce a novel dista nce-based kernel specifically designed for binary- type features based on a simil arity matrix that efficiently handles both binary and multi-class classification problems. Computational experiments on publicly available datasets of varying s izes demonstrate that our proposed method significantly outperforms existing app roaches in terms of classification accuracy. Furthermore, the distance-based ker nel achieves superior performance compared to other well-known kernels from the literature and those used in previous studies on the same datasets. These findin gs validate the effectiveness of our proposed classification method and distance -based kernel for SVMs."
Universidad del NorteBarranquillaCol ombiaSouth AmericaCyborgsEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
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