Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
The testing of the performance of opportunistic communication protocols and applications is usually done through simulation as i) deployments are expensive and should be left to t...
Roberta Calegari, Mirco Musolesi, Franco Raimondi,...
This paper presents an implicitly-typed functional, aspect-oriented programming language: λ AOP. The main contribution of the paper is a semantics for λ AOP advice weaving. The ...
Current simulation-sampling techniques construct accurate model state for each measurement by continuously warming large microarchitectural structures (e.g., caches and the branch...
Thomas F. Wenisch, Roland E. Wunderlich, Babak Fal...
— This paper presents new results on the formal design of distributed coordinating agents in a discrete-event framework. In this framework, agents are modeled to be individually ...