This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Abstract. Fuzzy Description Logics (f-DLs) have been proposed as formalisms capable of capturing and reasoning about imprecise and vague knowledge. The last years, research in Desc...
Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, E...
The Cyc KB has a rich pre-existing ontology for representing common sense knowledge. To clarify and enforce its terms’ semantics and to improve inferential efficiency, the Cyc on...
John Cabral, Robert C. Kahlert, Cynthia Matuszek, ...
Audio guides are a common way to provide museum visitors with an opportunity for personalized, self-paced information retrieval. However, this personalization conflicts with some ...
Florian Heller, Thomas Knott, Malte Weiss, Jan Bor...
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...