The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Technical Terms Support Vector Machine (SVM): A supervised machine learning algorithm used for classification and regression tasks that seeks the optimal hyperplane to separate distinct data classes.

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

The Data Science doctor delves into supporting vector machines, software systems that can perform binary classification such as creating a model to predict the gender of a person based on their age, ...

Meanwhile, results showed the support vector machine algorithm model had the best performing predictions for failure to achieve MCID of the Tegner score (accuracy = 76.8%), as well as optimal ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

The support vector machine algorithm struggled, Zurqani said, highlighting that not all AI models are equally suited for estimating aboveground forest biomass in this study.

The support vector machine algorithm struggled, Zurqani said, highlighting that not all AI models are equally suited for estimating aboveground forest biomass in this study.

About this issue Abstract To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for ...