genetic programmingmultiple regressionpredictionclassificationIn the presence of a number of algorithms for classification and prediction in software engineering, there is a need to have a systematic way of assessing their performances. The performance assessment is typically done by some form of ...
Mdl= fitcsvm(Tbl,Y)returns an SVM classifier trained using the predictor variables in the tableTbland the class labels in vectorY. Mdl= fitcsvm(X,Y)returns an SVM classifier trained using the predictors in the matrixXand the class labels in vectorYfor one-class or two-class classification. ...
The proposed model is implemented using Python and R programming languages. Author proposed a model using six ML techniques, such as SVM, NN, DT, RF, NB, and BN, to classify and predict HCV. An experimental analysis proved that the RF model performs outstanding over other ML models. In ...
The dimension of the real space \(r\) is determined by the rank of the Euclidean Distance Matrix, or EDM. In this scenario, let \(M\) denote the dissimilarity matrix derived by BLOSUM62: \(M=4-{{{\mathrm{BLOSUM}}}62\), and the diagonal values of \(M\) are set \(0\). Isome...
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Facies (i.e., lithofacies) classification is a way to gain an in-depth understanding of the geology by revealing details of underlying geologic features. It is critical to define lithology of interest to build a better understanding to elucidate the depositional environment and important reservoir ...
This method relies on the assumption that deep neural networks can learn complex patterns in data. Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) are two other types of deep learning architectures that are commonly used, according to the literature, to classify encrypted ...
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a Bonferroni adjustment. Ten diseases that satisfied the FDR-adjusted proportional hazards test and were also present in both men and women were included in the clustering studies, and for most of these their risk associations were similar in men and women (Fig.5, R-coded disease descriptions)...
Furthermore, DigiWest analysis in the independent validation cohort of 25 FFPE samples was also conducted with these 102 antibodies. Statistical analysis, classification, and data visualization The analysis of processed DigiWest data was performed using the statistical programming language R [40] ...