A retrospective study of 3,160 open pulmonary lobectomy patients found that a support vector machine model achieved the ...

A support vector machine (SVM) is a type of supervised learning algorithm used in machine learning to solve classification and regression tasks. SVMs aim to find the best possible line, or decision ...

An enhanced kernel search optimizer paired with a support vector machine predicted abdominal aortic calcification in hemodialysis patients with 92.8 percent accuracy and identified five key features.

Background: Support Vector Machine (SVM) is one of the most popular classification algorithms used in machine learning. It is widely used in real-life applications because of its simplicity and good ...

Facebook's campaign to grow its artificial intelligence talent pool has announced a new victory. The social networking company's AI lab today revealed -- in a Facebook post, naturally -- its latest ...