The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Consider a placement of heterogeneous, wireless sensors that can vary the transmission range by increasing or decreasing power. The problem of determining an optimal assignment of ...
Kenneth A. Berman, Fred S. Annexstein, Aravind Ran...
We introduce the notion of "non-malleable codes" which relaxes the notion of error-correction and errordetection. Informally, a code is non-malleable if the message cont...
Stefan Dziembowski, Krzysztof Pietrzak, Daniel Wic...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...