As Data and Computational Grids grow in size and complexity, the crucial task of identifying, monitoring and utilizing available resources in an efficient manner is becoming incr...
Radhakrishnan Sundaresan, Mario Lauria, Tahsin M. ...
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
—The use of multiple entropy models for Huffman or arithmetic coding is widely used to improve the compression efficiency of many algorithms when the source probability distribu...
We present Binary Refactoring: a software engineering technique for improving the implementation of programs without modifying their source code. While related to regular refactor...
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can great...