He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Less complex ML algorithms (eg, regularized regression) are readily interpretable but their performance is limited to identifying linear intervariable relations; more complex ML algorithms (eg, ...

Lei Si, Zhongbin Wang, Xinhua Liu, Chao Tan, Rongxin Xu, Assessment of rib spalling hazard degree in mining face based on background subtraction algorithm and support vector machine, Current Science, ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...