We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
The paper addresses the issue of microprocessor and microcontroller testing, and follows an approach based on the generation of a test program. The proposed method relies on two p...
Millions of DNA sequences (reads) are generated by Next Generation Sequencing machines everyday. There is a need for high performance algorithms to map these sequences to the refer...
This paper presents a simulation study of various TCP acknowledgment generation and utilization techniques. We investigate the standard version of TCP and the two standard acknowl...