Artificial intelligence (AI) provides many opportunities to improve private and public life.
Discovering patterns and structures in large troves of data in an automated manner is a core …

Machine learning with maximization (support) of separating margin (vector), called support
vector machine (SVM) learning, is a powerful classification tool that has been used for …

Support vector machine (SVM) is a powerful machine learning technique relying on the
structural risk minimization principle. The applications of SVM in structural reliability analysis …

Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …

Abstract The advent of Artificial Intelligence (AI) in the petroleum industry has seen an
increase in its use in exploration, development, production, reservoir engineering and …

Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …

Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …

In this tutorial we give an overview of the basic ideas underlying Support Vector (SV)
machines for function estimation. Furthermore, we include a summary of currently used …

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new
generation learning system based on recent advances in statistical learning theory. SVMs …