Abstract: The Projection Twin Support Vector Machine (PTSVM) and its variant, the Least Squares PTSVM (LSPTSVM), have demonstrated significant effectiveness in supervised classification tasks due to ...

Machine learning models may be able to identify women with severe subjective cognitive decline (SCD) during the menopause transition.

The proposed classifier, a randomized vectored fuzzy least square twin support vector machine, adeptly manages the challenges of uncertain, imbalanced, and nonlinear data commonly found in medical ...

ChatGPT has been shown to significantly enhance the overall learning experience for students. Its adaptive feedback allows ...

The following is a summary of “Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and ...

An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...

Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of ...

铰链损失 (Hinge Loss)是支持向量机 (Support Vector Machine, SVM)中最为核心的损失函数之一。该损失函数不仅在SVM中发挥着关键作用，也被广泛应用于其他机器学习模型的训练过程中。从数学角度来看，铰链损失函数提供了一种优雅的方式来量化分类器的预测性能。

Imagine logging into your cryptocurrency exchange platform one morning only to find the website down, your funds gone, and no ...

Qdrant, the developer of a high-performance open-source vector database, today introduced its graphics processing unit ...

To achieve the best results from data, organisations are increasingly demanding a differentiated approach to AI and machine ...

Polymer research shows that machine learning can optimize tribological performance of epoxy coatings, with GBR outperforming ...