Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referrin...
We describe our computer-supported framework to overcome the rule of metadata schism. It combines the use of controlled vocabularies, managed by a data category registry, with a c...
Daan Broeder, Marc Kemps-Snijders, Dieter Van Uytv...
We consider the problem of learning to parse sentences to lambda-calculus representations of their underlying semantics and present an algorithm that learns a weighted combinatory...
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes