In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
We construct models as an aid to our thought process. A particular class of models, operational models, can be used for simulation and prototyping. The Opj modeling language is su...
This paper describes the integration of the Berkeley Architectural Walkthrough Program with the National Institute of Standards and Technology’s CFAST fire simulator. The integ...
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
New information is obtained by research and disseminated by papers in conferences and journals. The synthesis of knowledge depends upon social discourse among the experts in a give...