We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Taking the temporal dimension into account in searching, i.e., using time of content creation as part of the search condition, is now gaining increasingly interest. However, in the...
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
Ariya Rastrow, Frederick Jelinek, Abhinav Sethy, B...
Capability acquisition graphs (CAGs) provide a powerful framework for modeling insider threats, network attacks and system vulnerabilities. However, CAG-based security modeling sys...
Duc T. Ha, Shambhu J. Upadhyaya, Hung Q. Ngo, S. P...
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...