Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
The problem of automatically selecting simulation models for autonomous agents depending on their current intentions and beliefs is considered in this paper. The intended use of t...
Ontology management and maintenance are considered cornerstone issues in current Semantic Web applications in which semantic integration and ontological reasoning play a fundament...
Giorgos Flouris, Zhisheng Huang, Jeff Z. Pan, Dimi...
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Current FPGAs are heterogeneous partially reconfigurable architectures, consisting of several resource types, e. g., logic cells and embedded memory. By using partial reconfigurat...