Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
In this paper, we propose DINPeer, an optimized peer-to-peer (P2P) overlay network for service discovery by overcoming limitations in current multicast discovery approaches and P2...
H. Q. Guo, D. Q. Zhang, Lek Heng Ngoh, Wai-Choong ...
As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data ...