Titlebook: KI 2005: Advances in Artificial Intelligence; 28th Annual German C Ulrich Furbach Conference proceedings 2005 Springer-Verlag Berlin Heidel

Criteria

Subsumption in , w.r.t. Hybrid TBoxes support of general TBoxes containing general concept inclusion (GCI) axioms, and secondly, non-standard inference services facilitating knowledge engineering tasks, such as build-up and maintenance of terminologies (TBoxes)..In order to make non-standard inferences available without sacrificing the

Occlusion

Dependency Calculus: Reasoning in a General Point Relation Algebraissues. In contrast, we present a new dependency calculus (.) that is created for specific questions of reasoning about causal relations and consequences. Applications in the field of spatial representation and reasoning are, for instance, modeling traffic networks, ecological systems, medical diagn

泥沼

Temporalizing Spatial Calculi: On Generalized Neighborhood Graphse, but also how they can change their position, shape, and size over time. In this paper we investigate how calculi discussed in the field of qualitative spatial reasoning (QSR) can be temporalized in order to gain reasoning formalisms that can be used to express spatial configurations and their dyn

Progesterone

Design of Geologic Structure Models with Case Based Reasoningground by retrieving and adapting old projects. Projects are divided in several complex cases consisting of pairs of drilling cores with their outcrop and the spatial context. A three-step retrieval algorithm (1) selects structurally similar candidate cases, (2) estimates the quality of a transfer o

STELL

Applying Constrained Linear Regression Models to Predict Interval-Valued Dataporated the information contained in the ranges of the intervals and that presented a better performance when compared with the Billard and Diday method. However, both methods do not guarantee that the predicted values of the lower bounds (?.).will be lower than the predicted values of the upper bou

reperfusion

Hormones

Noise Robustness by Using Inverse Mutationss superior performance in comparison to contemporary evolution strategies. But the theoretical analysis also indicates a noticeable performance loss in the presence of noise (i.e., noisy fitness evaluations). This paper aims at understanding the reasons for this observable performance loss. It also

柳樹；枯黃

Development of Flexible and Adaptable Fault Detection and Diagnosis Algorithm for Induction Motors Btion models with current signals. Energy values were calculated from transformed signals by wavelet and distribution of the energy values for each detail was used in comparing similarity. The appropriate details could be selected by the fuzzy similarity measure. Through the similarity measure, featu

衍生

傷心