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    » Using Random Forests in the Structured Language Model
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    ECEASST
    2008
    69views more  ECEASST 2008»
    Verifying Model Transformations by Structural Correspondence
    13 years 8 months ago
    Verifying Model Transformations by Structural Correspondence
    Download  tfs.cs.tu-berlin.de
    : Model transformations play a significant role in model based software development, and the correctness of the transformation is crucial to the success of the development effort. ...
    Anantha Narayanan, Gabor Karsai
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    IEE
    2008
    115views more  IEE 2008»
    Faithful mapping of model classes to mathematical structures
    13 years 8 months ago
    Faithful mapping of model classes to mathematical structures
    Download  www.eecs.ucf.edu
    ion techniques are indispensable for the specification and verification of functional behavior of programs. In object-oriented ation languages like JML, a powerful abstraction tec...
    Ádám Darvas, Peter Müller
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    PAMI
    2008
    119views more  PAMI 2008»
    Triplet Markov Fields for the Classification of Complex Structure Data
    13 years 8 months ago
    Triplet Markov Fields for the Classification of Complex Structure Data
    Download  mistis.inrialpes.fr
    We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
    Juliette Blanchet, Florence Forbes
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    FM
    2006
    Springer
    111views Formal Methods» more  FM 2006»
    A Formal Template Language Enabling Metaproof
    14 years 11 days ago
    A Formal Template Language Enabling Metaproof
    Download  www-users.cs.york.ac.uk
    Design patterns are usually described in terms of instances. Templates describe sentences of some language with a particular form, generate sentences upon instantiation, and can be...
    Nuno Amálio, Susan Stepney, Fiona Polack
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    EMNLP
    2009
    111views Natural Language Processing» more  EMNLP 2009»
    An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
    13 years 6 months ago
    An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
    Download  people.csail.mit.edu
    This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
    Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
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