In pharmaceutical research, machine learning (ML) methods have become increasingly important to address challenging tasks including, among others, the identification of drug-like active compounds, ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

Early detection is critical to improving outcomes across many diseases, yet cliniciansmust rapidly interpret heterogeneous signals, reports, and images. Automated analysis helps uncover subtle ...

In conventional method, distributed Support Vector Machines (SVM) algorithms are trained over pre-configured intranet/internet environments to find out an optimal classifier. These methods are very ...