In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
The forthcoming Revised6 Report on Scheme differs from previous reports in that the language it describes is structured as a set of libraries. It also provides a syntax for defini...