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    EACL
    2006
    ACL Anthology
    123views Natural Language Processing» more  EACL 2006»
    Generating Statistical Language Models from Interpretation Grammars in Dialogue Systems
    13 years 8 months ago
    Generating Statistical Language Models from Interpretation Grammars in Dialogue Systems
    Download  acl.ldc.upenn.edu
    In this paper, we explore statistical language modelling for a speech-enabled MP3 player application by generating a corpus from the interpretation grammar written for the applica...
    Rebecca Jonson
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    JMLR
    2012
    180views Programming Languages» more  JMLR 2012»
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    11 years 9 months ago
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    Download  www.cs.ubc.ca
    This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
    David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
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    WSC
    2000
    144views Modeling And Simulation» more  WSC 2000»
    Toward a standard process: the use of UML for designing simulation models
    13 years 8 months ago
    Toward a standard process: the use of UML for designing simulation models
    Download  www.informs-sim.org
    Designing complex simulation models is a task essentially associated with software engineering. In this paper, the Unified Modeling Language (UML) is used to specify simulation mo...
    Hendrik Richter, Lothar März
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    FAC
    2006
    104views more  FAC 2006»
    Angelic nondeterminism in the unifying theories of programming
    13 years 7 months ago
    Angelic nondeterminism in the unifying theories of programming
    Download  www.cs.york.ac.uk
    Hoare and He's unifying theories of programming (UTP) is a model of alphabetised relations expressed as predicates; it supports development in several programming paradigms. T...
    Ana Cavalcanti, Jim Woodcock, Steve Dunne
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    ESANN
    2008
    118views Neural Networks» more  ESANN 2008»
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    13 years 8 months ago
    Word recognition and incremental learning based on neural associative memories and hidden Markov models
    Download  www.dice.ucl.ac.be
    Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
    Zöhre Kara Kayikci, Günther Palm
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