Currently, misleading findings during data mining are mostly caused by the dirty data including that caused by mistakes of inconsistent examples. A reduction-based algorithm for helping us to check ...

In this repository, you will find a comprehensive collection of in-depth explanations, intuition, questions, and answers related to the Support Vector Machine (SVM) algorithm. Additionally, you will ...

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 ...

Support-Vector Machines (SVM) have gained momentum and have become a widely used classifier for various applications. Indeed, SVM parameters have a significant impact on the accuracy of the prediction ...

SVM can be a useful tool for medical image processing and diagnosis, however it has some limitations. It can be sensitive to the choice of hyperparameters and kernel functions, and be affected by ...