Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

The vector database market is experiencing rapid growth, with projections estimating it will reach $10.6 billion by 2032, ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Abstract: Generalized eigenvalue proximal support vector machines (GEPSVMs) are a simple and effective binary classification method in which each hyperplane is closest to one of the two classes and as ...

Abstract: Nonlinear system identification based on support vector machines (SVM) has been usually addressed by means of the standard SVM regression (SVR), which can be seen as an implicit nonlinear ...