Titlebook: KI 2003: Advances in Artificial Intelligence; 26th Annual German C Andreas Günter,Rudolf Kruse,Bernd Neumann Conference proceedings 2003 Sp

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狂亂

喃喃而言

Computing Minimum-Cardinality Diagnoses Using OBDDsing the set of alternative diagnoses. In the MBD (Model Based Diagnosis) community it is indeed well known that the number of diagnoses can be exponential in the system size even when restricted to preferred diagnoses (e.g. minimal diagnoses). In particular, the paper presents methods and heuristics

PURG

Presenting Sets of Problem Solutions Conciselygenerated presentations of these data lack a sufficient degree of conciseness. In order to improve the presentation of problem solutions that can be casted in terms of sets of ground atoms, we adapt linguistic aggregation techniques to specificities of formal problems. We define novel constructs tha

hematuria

Automatic Document Categorizationocument clustering algorithm can be captured by the .-Measure, which quantifies how close a human-defined categorization has been resembled..However, a bad .-Measure value tells us nothing about the reason why a clustering algorithm performs poorly. Among several possible explanations the most inter

Chagrin

Towards Symmetric Multimodality: Fusion and Fission of Speech, Gesture, and Facial Expression, eg. the user’s speech signal can be processed by three unimodal recognizers in parallel (speech recognition, emotional prosody, boundary prosody). Finally, we detail SmartKom’s three-tiered representation of multimodal discourse, consisting of a domain layer, a discourse layer, and a modality laye

Cloudburst

dissent

Pushing the Limit in Visual Data Exploration: Techniques and Applicationsf new hypotheses to the end of better problem-solving and gaining deeper domain knowledge. In this paper we give a short overview of visual exploration techniques and present new results obtained from applying PixelBarCharts in sales analysis and internet usage management.

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holarly analysis. In other words, amid all the variables which come into play whenever historians notice, record and employ certain data, one of those variables is the source base itself. However unappetizing the idea may seem to some, this is the historical equivalent of ‘we are what we eat’.