Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Standardization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector where the need for exchanging he...
Ontology matching (or mapping)--finding correspondences between semantically related entities of heterogeneous ontologies--becomes crucial for interoperability in distributed and ...
The overwhelming amount of information sources now available through the internet has increased the need to combine or integrate the data retrieved from these sources in an intell...