Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
Abstract. We discuss our DLDB knowledge base system and evaluate its capability in processing a very large set of real-world Semantic Web data. Using DLDB, we have constructed the ...
— Future wireless communication systems require highly efficient use of radio parameters. Adaptability to changing environment conditions and to service application requirements ...
Interactive mesh editing techniques that preserve discrete differential properties are promising to support the design of mechanical parts such as automobile sheet metal panels. H...
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...