Abstract. Transactional memory (TM) has recently emerged as an effective tool for extracting fine-grain parallelism from declarative critical sections. In order to make STM systems...
Lukasz Ziarek, Adam Welc, Ali-Reza Adl-Tabatabai, ...
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
With the phenomenal growth of the WWW, rich data sources on many different subjects have become available online. Some of these sources store daily facts that often involve textual...
Karla A. V. Borges, Alberto H. F. Laender, Claudia...
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
This paper introduces an object recognition strategy based on the following premises: i) an object can be identified on the basis of the optical flow it induces on a stationary ob...