Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Answer-set programming (ASP) is an emerging logic-programming paradigm that strictly separates the description of a problem from its solving methods. Despite its semantic elegance,...
The vision of semantic interoperability, the fluid sharing of digitalized knowledge, has led much research on ontology/schema mapping/aligning. Although this line of research is f...
Hung-Ju Chu, Randy Y. C. Chow, Su-Shing Chen, Raja...
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries...
Jing Bai, Dawei Song, Peter Bruza, Jian-Yun Nie, G...
Much recent research has focused on the applications of games with ω-regular objectives in the control and verification of reactive systems. However, many of the game-based model...