2021
DOI: 10.1080/15290824.2021.1876237
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Moving toward Engagement: Teaching Collaborative Dance and Science Classes to First Year College Students

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“…The optimal margin decision boundary (hyperplane) is obtained from the support vector, to solve the data classification problem [30,31]. Also because of the learning characteristics of the support vector machine, when the sample is insufficient, it can still model the limited sample and obtain the decision boundary [32][33][34]. Assuming that the hyperplane formula can correctly classify the data in the two-dimensional space, for any sample (x i , y i ) in the sample space, there are:…”
Section: Research On Process Reengineering Model Based On Svm Algorit...mentioning
confidence: 99%
“…The optimal margin decision boundary (hyperplane) is obtained from the support vector, to solve the data classification problem [30,31]. Also because of the learning characteristics of the support vector machine, when the sample is insufficient, it can still model the limited sample and obtain the decision boundary [32][33][34]. Assuming that the hyperplane formula can correctly classify the data in the two-dimensional space, for any sample (x i , y i ) in the sample space, there are:…”
Section: Research On Process Reengineering Model Based On Svm Algorit...mentioning
confidence: 99%