Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
The focus of this chapter is to review what is known about free and open source software development (FOSSD) work practices, development processes, project and community dynamics,...
One of the previous articles in this column was devoted to the zero-one laws for a number of logics playing prominent role in finite model theory: first-order logic FO, the extens...
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
In this paper, we propose an extensible Open-Architecture Services platform (OASis) for high-performance network processing. OASis embraces recent advances of open technologies, i...