Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...
This paper discusses the development of a series of models that ultimately leads to an unusual simulation approach to modeling automated guided vehicles on a factory floor. A pede...
Lisa A. Schaefer, Gerald T. Mackulak, Jeffery K. C...
Abstract. We present a semantic model of typicality of concept members in description logics that accords well with a binary, globalist cognitive model of class membership and typi...
Katarina Britz, Johannes Heidema, Thomas Andreas M...
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Feature interaction detection methods, whether online or offline, depend on previous knowledge of conflicts between the actions executed by the features. This knowledge is usually ...
Ahmed F. Layouni, Luigi Logrippo, Kenneth J. Turne...