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An important task of aging research is to find genes that regulate lifespan. Wet-lab identification of aging genes is tedious and labor-intensive activity. Developing an algorithm to predict aging genes will be greatly helpful. In this paper, we systematically analyzed topological features of proteins encoded by Drosophila melanogaster aging genes versus those encoded by non-aging genes in protein-protein...
An important task of aging research is to find genes that regulate lifespan. Wet-lab identification of aging genes is a tedious and labor-intensive activity. Developing an algorithm to predict aging genes for guiding wet-lab experiment should be greatly helpful. In this paper, we systematically analyzed topological features of proteins encoded by Mus musculus aging genes versus those encoded by non-aging...
In order to predict stock index, an empirical mode decomposition (EMD) based on support vector machine (SVM) ensemble learning paradigm was proposed. Firstly, the original stock index series were first decomposed into a finite number of independent intrinsic mode functions (IMFs), with different frequencies. Then the IMFs were composed into high-frequency sequence, low-frequency sequence, trend series...
Relevance vector machines have been successfully used in many domains, while their application in software reliability prediction is still quite rare. We proposed an RVM-based model for software reliability prediction, the RVM learning scheme is applied to the failure time data, forcing the network to learn and recognize the inherent internal temporal property of software failure sequence in order...
On the basis of introducing and discussing the wavelet decomposition, principal component analysis and support vector machine, an approach to face recognition is proposed in this paper. Firstly, wavelet decomposition is used to reduce facial image dimension. Secondly, under the premise of not increasing the number of images, symmetric principal component analysis is employed to expand the sample size...
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