Model-based reasoning (MBR) is a sophisticated approach in the domain of artificial intelligence (AI) that seeks to endow machines with...

At the epicenter of artificial intelligence (AI) progress, discriminative models crystallize as fundamental tools for data-driven decision making. A detailed...

Image Segmentation using Deep Learning: An Advanced Technical and Prospective Analysis Image segmentation, a critical task for computer vision, has...

Gaussian Processes (GPs) represent one of the most captivating non-parametric methods within machine learning. They offer a probabilistic perspective on...

In the current landscape of Artificial Intelligence (AI), the paradigm of Constraint Satisfaction Problems (CSP) serves as a crucial tool...

Poisson Processes, originating from the field of probability theory and statistics, are fundamental in representing and analyzing events that occur...

The F1-score, commonly referred to in the context of binary classification, is a measure that combines precision and recall into...

Current Artificial Intelligence (AI) represents a groundbreaking amalgamation of essential theories intertwined with unprecedented algorithmic advancements, resulting in a technological...

Multi-label Learning (MLL) is an advanced subdiscipline of artificial intelligence that focuses on the task of simultaneously assigning multiple labels...

Entity extraction is a subfield of Artificial Intelligence that focuses on identifying and classifying named entities within a text, enabling...