In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Existing stable matching algorithms reveal the preferences of all participants, as well as the history of matches made and broken in the course of computing a stable match. This in...
: Retrenchment is introduced as a liberalisation of refinement intended to address some of the shortcomings of refinement as sole means of progressing from simple abstract models t...
Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IM...
Kalyan Moy Gupta, Michael Zang, Adam Gray, David W...
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...