In this paper, we present a unified knowledge based approach for sense disambiguation and semantic role labeling. Our approach performs both tasks through a single algorithm that ...
Statistical timing analysis needs a priori knowledge of process variations. Lack of such a priori knowledge of process variations prevents accurate statistical timing analysis, fo...
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Knowledge management depends on effective methods for capturing knowledge in useful forms and making it available when needed. Electronic concept maps provide a promising represen...
This paper presents a new approach for merging prioritized knowledge bases in possibilistic logic. Our approach is semantically defined by a model-based merging operator in propo...