The boundaries of artificial intelligence (AI) are constantly expanding, driven by the dizzying advancement of algorithms and theories that seem...

In the field of Artificial Intelligence (AI), solving complex problems has historically been approached using heuristic algorithms. These methods are...

Introduction to Monte Carlo Simulation and Metropolis-Hastings Sampling Metropolis-Hastings (MH) sampling is a technique from the Monte Carlo methods family...

A Journey through Advanced Artificial Intelligence and its Frontiers Gaussian Process Regression (GPR) falls into the realm of statistical learning...

Introduction to the Classification of Artificial Intelligence: Weak AI and Strong AI Artificial Intelligence (AI) is a technology that has...

Self-Organizing Maps (SOMs), a form of artificial neural networks introduced by Teuvo Kohonen in 1982, represent a paradigm in unsupervised...

Artificial intelligence (AI) is an ever-evolving scientific discipline capable of transforming entire industries and the way we live. At the...

Artificial Intelligence (AI) has permeated multiple domains, showcasing a rapid evolution that impresses with its adaptability and learning capabilities. Nevertheless,...

Multi-Domain Learning (MDL) emerges as a sophisticated expansion of artificial intelligence (AI) that transcends the confines of learning specific to...

Statistical inference stands as fundamental pillars of Artificial Intelligence (AI), enabling the discovery of patterns in complex data and thereby...