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, ...

We analyze a binary classification problem by using a support vector machine based on variational quantum-circuit model. We propose to solve a linear equation of the support vector machine by using a ...

Machine learning models are only as valuable as the problems they solve. Among the most powerful classical algorithms available is the Support Vector Machine (SVM), a method known for its strong ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...