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    IJCAI
    2001
    114views Artificial Intelligence» more  IJCAI 2001»
    Refining the Structure of a Stochastic Context-Free Grammar
    14 years 8 days ago
    Refining the Structure of a Stochastic Context-Free Grammar
    Download  www.biostat.wisc.edu
    We present a machine learning algorithm for refining the structure of a stochastic context
    Joseph Bockhorst, Mark Craven
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    ICCBR
    2007
    Springer
    90views Automated Reasoning» more  ICCBR 2007»
    The Role of Context Models in Association with Flexible Design Processes - Position Paper
    14 years 5 months ago
    The Role of Context Models in Association with Flexible Design Processes - Position Paper
    Download  sunsite.informatik.rwth-aachen.de
    In this position paper, we discuss the interdependencies of context models and flexible design processes in the chip industry. We illustrate this by an ontology-based context model...
    Mirjam Minor, Daniel Schmalen, Andreas Koldehoff
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    ICSOFT
    2007
    140views Software Engineering» more  ICSOFT 2007»
    Interoperating Context Discovery Mechanisms
    14 years 10 days ago
    Interoperating Context Discovery Mechanisms
    Download  eprints.eemcs.utwente.nl
    Context-Aware applications adapt their behaviour to the current situation of the user. This information, for instance user location and user availability, is called context informa...
    Tom Broens, Remco Poortinga, Jasper Aarts
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    CASCON
    2006
    77views Education» more  CASCON 2006»
    Integrating scenarios, i*, and AspectT in the context of multi-agent systems
    14 years 9 days ago
    Integrating scenarios, i*, and AspectT in the context of multi-agent systems
    Download  www.math.yorku.ca
    Antonio de Pádua Albuquerque Oliveira, Luiz...
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    ACL
    1997
    95views Computational Linguistics» more  ACL 1997»
    Mistake-Driven Mixture of Hierarchical Tag Context Trees
    14 years 7 days ago
    Mistake-Driven Mixture of Hierarchical Tag Context Trees
    Download  www.aclweb.org
    This paper proposes a mistake-driven mixture method for learning a tag model. The method iteratively performs two proce
    Masahiko Haruno, Yuji Matsumoto
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