We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Abstract. Due to its prominence in artificial intelligence and theoretical computer science, the propositional satisfiability problem (SAT) has received considerable attention in...
In this paper, we introduce an integrated approach to the development of spatial hypertext. This approach brings together several theories and techniques concerning semantic struc...
An underlying assumption for N-version programming technique is that independently developed versions would fail in a statistically independent mannel: Howevel; empirical studies ...
Gwang Sik Yoon, Sung Deok Cha, Yong Rae Kwon, Chan...
This paper describes the aspect map approach to model the processing of geographic maps. Geographic maps are described as spatial representation media which play an important role ...
Bettina Berendt, Thomas Barkowsky, Christian Freks...