Geometric AICs have been successfully used in a wide range of classification schemes involving non-disjoint models [32, 33].
A wide range of classification methods have been used for the early detection of financial risks in recent years.
Multi-layer Perceptron (MLP) with back-propagation learning can solve a wide range of classification and estimation problems.
The new expression is compared with some existing classification models with respect to their predictive value for a wide range of classification data.
We observed a wide range of classification accuracy i.e, 49 97% on different classifiers using various feature selection methods on Lymphoma dataset.
The proposed system was assessed on our database of 112 DCE-MRI studies including solid breast masses, using a wide range of classification measures.
Among a wide range of classification techniques used to tackle this problem, SVM classifier has attained the best results for this task [ 5, 22, 26, 27].
They proposed a wide range of classification techniques based on different learning algorithms such as, Bayesian based learners [ 8], Meta-classifiers [ 9– 13], Support Vector Machines (SVM) [ 14– 17], Artificial Neural Network (ANN) [ 18– 20], and ensemble classifiers [ 21– 25].
A wider range of classifications allowed for more precise estimates using our statistical model described below because it improved the within group homogeneity of subjects within each BMI classification.
Since the industry covers such a wide range of industrial classifications, an analysis at the four-digit SIC level is insufficient.
Using a LSTM network has been demonstrated to be effective for a wide range of text classification tasks, including sentiment, and can outperform traditional learners such as SVM [10].
