Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
Reducing spatial redundancies between different camera views is one of the major challenges in multiview video coding (MVC). However, with drastic increase in time consumption of ...
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write com...