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Classification accuracy is a very important evaluation criterion for the method of classification and multi-label classification. In this paper, from the perspective of granular computing, we present an unified measurement criterion for the accuracy of multi-label classification method based our previous works. Then important example is illustrated to understand this evaluation criterion.
Accuracy is a very important criterion for the classifier in the process of classification. In this paper, a unified paradigm for the calculation of accuracy evaluated different classifier, using topological covering-based granular computing, is presented under the given sample space and different ideal classification assumptions. And corresponding examples for the calculation of accuracy in different...
Directed Acyclic Graph-Support Vector Machine (DAG-SVM) is a novel algorithm for multi-class classification. For an N-class problem, it constructs N(N-1)/2 classifiers, one for each pair of classes. Based on SVM decision function, an efficient data structure is used to express the decision node in the graph and an improved decision algorithm is used to find the class of each test sample. This new...
Hypertext document is a special but important kind of text document for text classification. This paper introduces weighted transductive support vector machines (WTSVMs), which treat test samples discriminately based on their weight factors rather than treat every test sample equally in transductive support vector machines (TSVMs). A hybrid similarity function that includes hyperlink and term components...
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