Noisy data is ubiquitous in quantum computer, greatly affecting the performance of various algorithms. However, existing quantum support vector machine models are not equipped with anti-noise ability, ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

Support Vector Machines (SVM), a supervised learning algorithm, are particularly effective in this domain due to their ability to classify data and perform regression tasks with high precision [1].

OLYMPIA – Washington has joined 20 other states in supporting a legal challenge to a federal ban on transgender military personnel serving in the armed forces.

Support Vector Machine is another machine-learning algorithm used for classification and regression problems. The dataset is separated using a maximal margin classifier if the dataset is linearly ...

Microsoft has started testing a new "scareware blocker" feature for the Edge web browser on Windows PCs, which uses machine learning (ML) to detect tech support scams.

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 ...

Ultimately, a method based on the frequency response characteristics of breakdown current signals is proposed for localization, utilizing the support vector machine (SVM) algorithm. 2 Establishment of ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...