Titlebook: Information Processing and Management of Uncertainty in Knowledge-Based Systems; 13th International C Eyke Hüllermeier,Rudolf Kruse,Frank H

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Coping with Uncertainty in Temporal Gene Expressions Using Symbolic Representations; moreover biological processes develop in very different time scales. A way to cope with these uncertain data is to represent expression level signals in a symbolic way and to adapt sub-string matching algorithms (such as the Longest Common Subsequence) for reconstructing the underlying regulatory

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A Fast Recursive Approach to Autonomous Detection, Identification and Tracking of Multiple Objects i and clutter, but also due to the large dimensionalities of the problem and the demand for fast and efficient algorithms. This paper details an approach for automatic detection, single and multiple objects identification and tracking in video streams with applications to surveillance, security and a

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Soft Concept Hierarchies to Summarise Data Streams and Highlight Anomalous Changeses allow progressively finer division into more specific categories, but frequently the categories are fuzzy rather than crisp. In this paper, we use fuzzy formal concept analysis to extract soft hierarchies from data. The hierarchies are used to classify data and to monitor changes over time by mea

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Using Enriched Ontology Structure for Improving Statistical Models of Gene Annotation Setsriments. Comparing, for instance, distributions of annotations associated with differentially expressed genes to a reference, highlights interesting observations and permits to formulate hypotheses about changes to the activity pathways and their interaction under the chosen experimental conditions.

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Obtaining the Compatibility between Musicians Using Soft Computinge characteristics of the sound: the pitch (the frequency of a sound as perceived by human ear), a similarity relation between two notes can be defined. We call this relation compatibility. In the present work, we propose a method to asses the compatibility between musicians based on the compatibilit

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A Model Based on Outranking for Database Preference Queriesare incommensurable. This model constitutes an alternative to the use of Pareto order. Even though outranking does not define an order in the strict sense of the term, we describe a technique which yields a complete pre-order, based on a global aggregation of the outranking degrees computed for each