In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
In this paper we propose a new generic scheme CFLP(D ), intended as a logical and semantic framework for lazy Constraint Functional Logic Programming over a parametrically given co...
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as ...
Bidirectional transformations provide a novel mechanism for synchronizing and maintaining the consistency of information between input and output. Despite many promising results o...
Semantic Business Process Management is a recent and promising research area devoted to extending the results from Semantic Web Services — i.e., the application of ontology-base...