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The security issue can't be ignored in the applications of Mobile Internet. the present mechanism is very difficult to secure the complex and sensitive data information in the applications of Mobile Internet. Using the method of support vector machine to build the multi-classifier, with the consideration of the cost of classification, different sensitivity is given to different types of sensitive...
Electrical capacitance tomography (ECT) is a typical small samples and nonlinear mapping problem. Support vector machine (SVM) is based on the special small samples theory with strong generalization ability, and is selected as an optimal theory for small samples classify problem. In this paper the ECT image reconstruction algorithms based on C-SVM is proposed and a novel training method is proposed...
Epistatic interactions play a significant role in improving pathogenesis, prevention, diagnosis and treatment of complex human diseases. A recent study in automatic detection of epistatic interactions showed that Markov Blanket-based methods are capable of finding SNPs (single-nucleotide polymorphism) that have a strong association with common diseases and of reducing false positives when the number...
With the development of genome-wide association studies (GWAS), computationally identifying the epistatic interactions associated with common diseases presents a significant challenge to bioinformatics society. Most existing computational detection methods are based on the classification capacity of SNP sets, which may fail to identify SNP sets that are strongly associated with the diseases. In addition,...
A new method for digital modulation recognition in shortwave communications based on wavelet packet and cumulants is presented. It uses wavelet packet transform and cumulants as feature extraction method and hierarchical classifiers based on support vector machines as the classifier. This hierarchical method has higher recognize rate compared with other methods. Classification results for 10 modulation...
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