A team from the University of Cordoba has designed a model, based on fuzzy logic, that predicts the performance of online education students, dividing them into 4 categories and helping professors ...

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Human social learning is increasingly occurring on online social platforms, such as Twitter, Facebook, and TikTok. On these platforms, algorithms exploit existing social-learning biases (i.e., towards ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Newswise — From detecting cancer in medical imaging to recommending additional lesson plans for students in K-12 education, algorithm technologies have become crucial across many different industries.

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...