Abstract. The problem of merging multiple sources information is central in several domains of computer science. In knowledge representation for artificial intelligence, several a...
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
In recent years, data broadcasting becomes a promising technique to design a mobile information system with power conservation, high scalability and high bandwidth utilization. Ho...
Parallel execution of simulation runs has become indispensable in different research areas recently. One of the most promising and powerful models in science are cellular automata ...
Refactorings are transformations that change the structure of a program, while preserving the behavior. The topic has attracted a lot of attention recently, since it is a promising...