A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
—In this paper, we propose knowledge-chunk based techniques for instance matching and mapping discovery of Semantic Web resources. Knowledge chunks provide a synthetic representa...
This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
The Semantic Web has been gaining increasing attention, spurring a large number of initiatives to design and implement applications in this environment. This paper proposes an app...