Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

In 2015, applied various machine learning techniques, including Support Vector Machine (SVM), artificial neural networks, Naïve Bayes classifier, and AdaBoost, for breast cancer prediction. To enhance ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...

The v-support vector classification has the advantage of using a regularization parameter v to control the number of support vectors and margin errors. Recently, a regularization path algorithm for ...