In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

In this contributed article, editorial consultant Jelani Harper discusses how there are certainly numerous use cases enriched by dynamic algorithms, such as fraud detection. However, the applicability ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

It might not be as bright and shiny as some of the other topics that we've seen here, but there's no denying that the work of Julian Shun and his team is going to be applicable to a lot of the ...

An adaptive algorithm is a computational program which is capable of adjusting its behaviour based on the data it receives in order to complete its goals. While standard algorithms will complete tasks ...

How do you change data in a running program? Incremental change propagation and the .NET library NMF Expressions help with this complex problem. Georg Hinkel forscht und lehrt an der Hochschule ...

Dynamic pricing employs machine learning and artificial intelligence to identify when the cost of goods and services should go up or down. The price you pay for certain things can change due to many ...