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

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Expressivity-Preserving Tempo Transformation for Music – A Case-Based Approachetely, we have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. To do so we have develppoped a case-based reasoning system called .. The results we have obtained have been extensively compared

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MicroPsi: Contributions to a Broad Architecture of Cognitionemotion with cognitive processes. We have transferred this theory into a cognitive modeling framework, implemented as an AI architecture, called MicroPsi. Here, we describe the main assumptions of the Psi theory and summarize a neural prototyping algorithm that matches perceptual input to hierarchic

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Classification of Skewed and Homogenous Document Corpora with Class-Based and Corpus-Based Keywordspus-based policy a single set of keywords is selected for all classes globally, in class-based policy a distinct set of keywords is selected for each class locally. We use SVM as the learning method and perform experiments with boolean and tf-idf weighting. In contrast to the common belief, we show

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Learning an Ensemble of Semantic Parsers for Building Dialog-Based Natural Language Interfacesroblem of imperfect precision in an NLI has been brought up as an NLI that might answer a question incorrectly can render it unstable, if not useless. In this paper, an approach based on ensemble learning is proposed to trivially address the problem of unreliability in an NLI due to imperfect precis