Static Single Assignment (SSA) has been widely accepted as the intermediate program representation of choice in most modern compilers. It allows for a much more efficient data flo...
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
—Maintaining performance and reliability in wireless networks is a challenging task due to the nature of wireless channels. Multipath data transmission has been used in wired sce...
Vinh Bui, Weiping Zhu, Alessio Botta, Antonio Pesc...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...