: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
This paper addresses the design problem of providing IT support for emerging knowledge processes (EKPs). EKPs are organizational activity patterns that exhibit three characteristi...
In this paper a theory of delegation is presented. There are at least three reasons for developing such a theory. First, one of the most relevant notions of "agent" is b...
In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers...