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Support Vector Machine (SVM) is one of the most popular machine learning algorithm to perform classification tasks and help organizations in different ways to improve their efficiency. A lot of studies have been made to improve SVM including speed, accuracy, and/or scalability. The algorithm possesses parameters that need precision tuning to perform well. This work proposes a novel parallelized parameter...
Internet traffic classification has been researched extensively in the last 10 years, with a few different algorithms applied to it. Internet traffic classification has also become more relevant because of its potential applications in the business world. Having information about network traffic has many benefits in network design, security, management, and accounting. The classification of network...
Internet traffic classification has been studied widely in recent years, and many machine learning approaches have been applied to it. Internet traffic classification has increased in relevance in recent years because of its potential applications in the business world. Information about network traffic has many benefits in network design, security, management and accounting. Internet traffic classification...
Method of image recognition based on statistics can achieve fine performance only if large numbers of samples are provided. In some situation, it's impossible to obtain so many samples, which may result in the poor recognition-performance because lacking of information. Furthermore, frequently-used neural network is designed as classifier with the purpose of empirical risk minimization and with poor...
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