Support Vector Machine Classification in ... The most common is called the sequential minimal optimization (SMO) algorithm. The data points in Figure 2 are what's called linearly separable because ...

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes. They can come in handy for analyzing text, images ...

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and reducing parameter requirements.