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Titlebook: Advances in Artificial Intelligence; 21st Conference of t Sabine Bergler Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008

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South Tyrol: Destinations Can Be Brands Tooive destinations within the system allows the virtual enterprise having additional information on potential opportunities of business and assures transport system users a wider and more complete service search. The PASSI methodology has been used as base software engineering methodology for leveraging the multiagent architecture.
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https://doi.org/10.1007/978-3-531-90992-9trating the amount of influence each attribute has on others. Such information is useful in both causal and non-causal contexts. We provide examples of dependence diagrams using rules extracted from two datasets.
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0302-9743 adian AI 2008, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI t
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Bernd Ankenbrand,Sven Mussler,Timo Mussleresearch on sentiment polarity, we propose a novel approach based on Support Vector Machines. We compare our method to previously proposed lexical-based and machine learning (ML) approaches by applying it to a publicly available set of movie reviews. Our algorithm will be integrated within a blog visualization tool.
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Die Besiedlungsgeschichte des Landes Ruppin,ch as the senders, recipients, time span, and frequency of emails in the concepts. The highly ranked concepts are then identified as email topics. Experimental results on the Enron email dataset illustrate the effectiveness of the method.
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https://doi.org/10.1007/978-3-531-90992-9aper, we present a new MSBN message passing scheme which substantially reduces the total number of message passings. By saving on both internal and external messages, our method improves the overall efficiency of MSBN inference compared with existing methods.
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The 4D Model of Place Brand Managementproposed model employs Dempster-Shafer based valuation networks to represent a global reputation structure and performs a belief propagation technique to infer contextual reputation. The evaluation of the model on a dataset collected from epinions.com shows promising results.
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https://doi.org/10.1007/978-3-476-03124-2 400 sentences for training and the rest for testing, our system obtained an 68.60% F-score on average, significantly outperforming the baseline system (F-score 60.54% using a simple dictionary match). This suggests that statistical approaches such as CRFs based on annotated corpora hold promise for
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