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P2P traffic identification is an important issue of internet traffic analysis, and machine learning is a viable approach to address it. However, compared to ensemble learning methods, traditional methods and simple machine learning methods appear to be slightly limited in improving performance. In this paper, Random Forests and feature weighted Naive Bayes was integrated to P2P traffic identification...
With the accelerating advancement of biomedical research, it has been widely accepted that genetic variation plays a critical role in the pathogenesis of human inherited diseases. As an important type of genetic variation, nonsynonymous single nucleotide polymorphisms (nsSNPs) that occur in protein coding regions lead to amino acid substitutions in proteins, affecting structures and functions of proteins,...
In view of the current problems of HNIDS (high-speed network intrusion detection system), such as high packet loss rate, slow pace of testing for attacks and unbalanced data for detection. This paper presents a novel approach for HNIDS by taking two-stage strategy with load balancing model. In the on-line phase, the system captures the packets from network and split into small according the type of...
An automatic pitch type recognition system has been developed. It is difficult to determine the pitch type automatically from a baseball broadcast video, so the decision is currently made by specialists that have expertise and experience in baseball. We developed a system incorporating expertise of professionals. The system identifies pitch type, such as straight balls and curveballs, from single-view...
A method is presented that achieves lung nodule detection by classification of nodule and non-nodule patterns. It is based on random forests which are ensemble learners that grow classification trees. Each tree produces a classification decision, and an integrated output is calculated. The performance of the developed method is compared against that of the support vector machine and the decision tree...
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