This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth.

The release contains code for component services of the system, such as a machine-learning ... parts of their algorithm from the release, specifically calling out code for ad recommendations ...

Machine learning is a type of artificial intelligence ... A random forest algorithm ML tool might be used for a recommendation system, for example. Sources of Training Data for Machine Learning ...

Written by eWEEK content and product recommendations ... models and algorithms to analyze patterns in datasets and mimic the style or structure of specific content types. Machine learning (ML ...

While some AI techniques (such as expert systems) use other approaches, machine learning drives most of the field’s current progress by focusing on one thing: using algorithms to ...

Systems controlled by next-generation computing algorithms could give rise ... mainly because it was trained using a type of machine learning approach called reservoir computing.

"We're starting to see machine learning as a system ... algorithms. In addition, the flexible periodic table allows researchers to add new rows and columns to represent additional types of ...