Foundations and Evolution of Maximum Likelihood Estimation in Machine Learning Maximum Likelihood Estimation (MLE) has established itself as a cornerstone...

Ensemble learning has become one of the most effective methodologies within the field of Artificial Intelligence (AI). Ensemble algorithms operate...

Artificial intelligence (AI) has broadened the horizon of possibilities within the realm of computer vision (CV), fostering significant advancements in...

Content-based filtering (CBF) is a recommendation approach that is built upon the description of an item and a user's preference...

The Hill Climbing (HC) algorithm stands as a fundamental meta-heuristic within the tangled web of intelligent optimization techniques, dedicated to...

The essence of modern artificial intelligence lies in its capacity to transform vast amounts of data into knowledge and action....

Multi-view learning, a promising paradigm within Artificial Intelligence (AI), is founded on the postulate that the simultaneous interpretation of heterogeneous...

Recommendation systems (RS) have become ubiquitous in the information age, filtering meaningful content through algorithms that correlate user preferences and...

At the intersection of statistical inference and Artificial Intelligence (AI), Bayes' Theorem provides an essential theoretical foundation from which modern...

Fundamentals and Evolution of Sentiment Analysis Through AI Sentiment analysis, situated at the crossroads of computational linguistics and artificial intelligence...