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Transductive semi-supervised support vector machin
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TSVM learning outcomes contained in the test samples of data. After study, TSVM will produce a classification function, namely the optimal separating hyperplane. After the test samples were processed by TSVM classifier, and then by the intrusion detection system based on classification results to determine whether the attack occurred. For normal data and properly classify the attack as much as possible, to improve the detection rate of intrusion detection, TSVM tries to find the optimal separating hyperplane.
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Cotrade semi-supervised classification codes
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Semi-supervised learning (Semi-supervised Learning) is the key issue in the field of pattern recognition and machine learning problems, is a combination of supervised learning and unsupervised learning methods. Annotations that it is mainly looking at how few training samples and lots of unmarked samples and classification problems.
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