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Bioinformatics techniques to protein structure prediction mostly depend on the information available in amino acid sequence. Support vector machines (SVM) have shown strong generalization ability in a number of application areas, including protein structure prediction. Support vector machines is a good classifier to solve classification problem and the learning results possess stronger robustness...
Credit risk is the primary source of risk to financial institutions. Support vector machine (SVM) is a good classifier to solve binary classification problem and the learning results possess stronger robustness. The attribute reduction of rough set has been applied as preprocessor, then resolving the problem of the application of SVM in housing loan credit evaluation, such as the choice of kernel...
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