In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to ...
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao,...
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Given a set of machines and a set of Web applications with dynamically changing demands, an online application placement controller decides how many instances to run for each appl...
Chunqiang Tang, Malgorzata Steinder, Mike Spreitze...