Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
Ontology is a comprehensive knowledge model which enables the developer to practice a “higher” level of reuse of knowledge. Typically, different modeling languages are employe...
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator’s...
Current Web Engineering methods develop "closed" web applications from conceptual models. This fact makes difficult the integration and the interoperability of different ...
Victoria Torres, Joan Fons, Oscar Asensi, Vicente ...