We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
: To enhance users' social embedding within learning networks, we propose to establish ad hoc transient communities. These communities serve a particular goal, exist for a lim...
Adriana J. Berlanga, Peter B. Sloep, Liesbeth Kest...
Being subscribed to a newspaper, readers expect some basic things: receiving their paper in their mailbox early in the morning, being able to read it privately when and where they...
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
Today, network address translators, or NATs, are everywhere. Their ubiquitous adoption was not promoted by design or planning but by the continued growth of the Internet, which pl...