: 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, ...
We present a logical approach to plan recognition that builds on Kautz's theory of keyhole plan recognition, defined as the problem of inferring descriptions of high-level pl...
Bus-based shared memory multiprocessors with private caches and snooping write-invalidate cache coherence protocols are dominant form of small- to medium-scale parallel machines t...
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...
Elzbieta Pekalska, Robert P. W. Duin, Marina Skuri...