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With the rapid growth in computer technology and popularization of Internet, e-mail has become one economical and convenient form of communication. But different types of crime and civil action involving e-mail documents appear which do harm to people's life and social's stabilization. So the criminal e-mail's authorship has to be identified automatically for the purpose of computer forensic. To solve...
Since training a SVM requires solving a constrained quadratic programming problem which becomes difficult for very large datasets, an improved particle swarm optimization algorithm is proposed as an alternative to current numeric SVM training methods. In the improved algorithm, the particles studies not only from itself and the best one but also from the mean value of some other particles. In addition,...
Support vector machine (SVM) is a binary class machine learning classifier. Given a data point, the SVM can classify the data point to either positive class or negative class. However, in some cases, some data points belong to neither positive class nor negative class. They should be treated as one new class. This paper proposes one method that can find isolated data points and separate them into...
Support vector machine (SVM) is a new learning technique based on statistical learning theory (SLT). In this paper, a medical diagnosis decision system (MDDSS) based on SVM has been established to intellectively diagnose 4 types of acid-base disturbance. SVM was originally developed for two-class classification. It is extended to solve multi-class classification problem named hierarchical SVM with...
Support vector machine (SVM) can be seen as a new machine learning way which is based on the idea of VC dimensions and the principle of structural risk minimization rather than empirical risk minimization. SVM can be used for classification and regression. Support vector regression (SVR) is a very important branch of Support vector machine. Partial differential equations (PDEs) have been successfully...
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