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A method of classifying the P2P traffic based on the Probabilistic Neural Network is proposed. Firstly, we utilize "WinPcap" to capture the network packets and then the core characteristics of the obtained data are analyzed with the help of the tool. Based on the above work, the P2P traffic classification system was realized. It makes full use of the advantage of the PNN which has a high...
This paper considers the low-level feature modeling problem in image spam classification, in which most of the prevalent content based spam filters are shown to be inefficient because their OCR procedure are vulnerable to text obscuring attacks from spammers. We first built up a basic feature set through a low-level feature extraction process, and then proposed a stepwise regression method to determine...
Multiple-instance learning is a special machine learning algorithm between supervised learning and unsupervised learning, which has been used in medicine design, image retrieval and other research fields, and attained good performance. Diverse Density (DD) algorithm is a typical multiple- instance learning method. Due to the character of sparse positive instances, when classifying the bags which include...
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