Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Abstract— The growth of video content and diversification of content-sharing methods in the Internet lead to an exciting range of new problems in networking, communications, and...
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
Constructing a Chinese digital library, especially for a historical article archiving, is often bothered by the small character sets supported by the current computer systems. Thi...
Web-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in Web pages. In this paper, we propose a new Web...