Information about the spread of crop disease is vital in developing countries, and as a result the governments of such countries devote scarce resources to gathering such data. Un...
John Alexander Quinn, Kevin Leyton-Brown, Ernest M...
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
: State-of-the-art interoperability between heterogeneous systems on a technical level builds on services oriented architectures (SOA) for a given problem space. Semantics can be i...
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
—This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPma...