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Titlebook: KI 2006; 29th Annual German C Christian Freksa,Michael Kohlhase,Kerstin Schill Conference proceedings 2007 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-21 19:26:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱KI 2006
副標(biāo)題29th Annual German C
編輯Christian Freksa,Michael Kohlhase,Kerstin Schill
視頻videohttp://file.papertrans.cn/542/541635/541635.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: KI 2006; 29th Annual German C Christian Freksa,Michael Kohlhase,Kerstin Schill Conference proceedings 2007 Springer-Verlag Berlin Heidelber
出版日期Conference proceedings 2007
關(guān)鍵詞Ontologie; RoboCup; actuator; agents; artificial intelligence; cognition; emotion; learning; machine learnin
版次1
doihttps://doi.org/10.1007/978-3-540-69912-5
isbn_softcover978-3-540-69911-8
isbn_ebook978-3-540-69912-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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On the Scalability of Description Logic Instance Retrievaltic knowledge. In this paper we present and analyze the main results we have found about how to contribute to this kind of scalability problem. We assume familiarity with description logics in general and tableau provers in particular.
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Relation Instantiation for Ontology Population Using the Webate relation instances are then ranked based on co-occurrence with a seed set. In an experiment, we extracted instances of the relation between artists and art styles. The results were manually evaluated against selected art resources.
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Learning an Ensemble of Semantic Parsers for Building Dialog-Based Natural Language Interfaces In this paper, an approach based on ensemble learning is proposed to trivially address the problem of unreliability in an NLI due to imperfect precision in the semantic parser in a way that also allows the recall of the NLI to be improved. Experimental results in two real world domains suggested that such an approach can be promising.
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Active Monte Carlo Recognitiontively handles object transformations in scale, translation, rotation, affine and non-affine distortion. We describe the general AMCR in detail, introduce a particular implementation, and present illustrative empirical results.
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