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Modern technologies have been producing data with complex intrinsic structures, which can be naturally represented as two-dimensional matrices, such as gray digital images, and electroencephalography (EEG) signals. When processing these data for classification, traditional classifiers, such as support vector machine (SVM) and logistic regression, have to reshape each input matrix into a feature vector,...
Currently, colorectal cancer (CRC) already becomes one of the most common cancers worldwide. Though the prognosis of CRC patients is dramatically improved due to the new advanced treatments and medical improvements, the 5-year survival rate for the CRC patient is still low. Thus, we hypothesize that CRC may result from the complicated reasons related to both genetic and environmental factors. For...
Feature selection techniques play a crucial role in machine learning tasks such as regression and classification. Many filter methods of feature selection are based on the mutual information (e.g. MIFS, MIFS-U, NMIFS, and mRMR methods). In this work, a new mutual information is defined based on the cross survival information potential (CSIP) and Cauchy-Schwartz divergence (CSD), called the survival...
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