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    IPPS
    2005
    IEEE
    98views Distributed And Parallel Com...» more  IPPS 2005»
    A Network Access Control Approach Based on the AAA Architecture and Authorization Attributes
    15 years 4 months ago
    A Network Access Control Approach Based on the AAA Architecture and Authorization Attributes
    Download  dame.inf.um.es
    Gabriel López, Antonio F. Gómez-Skar...
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    ECML
    2003
    Springer
    78views Machine Learning» more  ECML 2003»
    Learning Context Free Grammars in the Limit Aided by the Sample Distribution
    15 years 3 months ago
    Learning Context Free Grammars in the Limit Aided by the Sample Distribution
    Download  www.ozsl.uu.nl
    We present an algorithm for learning context free grammars from positive structural examples (unlabeled parse trees). The algorithm receives a parameter in the form of a finite se...
    Yoav Seginer
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    IFIP
    2009
    Springer
    115views Programming Languages» more  IFIP 2009»
    Formal Grammars for Product Data Management on Distributed Manufacturing Systems
    15 years 3 months ago
    Formal Grammars for Product Data Management on Distributed Manufacturing Systems
    Download  www.uninova.pt
    Rui M. Sousa, Paulo J. Martins, Rui M. Lima
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    EACL
    1993
    ACL Anthology
    110views Natural Language Processing» more  EACL 1993»
    Parsing the Wall Street Journal with the Inside-Outside Algorithm
    14 years 12 months ago
    Parsing the Wall Street Journal with the Inside-Outside Algorithm
    Download  acl.ldc.upenn.edu
    We report grammar inference experiments on partially parsed sentences taken from the Wall Street Journal corpus using the inside-outside algorithm for stochastic context-free gram...
    Yves Schabes, Michal Roth, Randy Osborne
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    JMLR
    2010
    137views more  JMLR 2010»
    Covariance in Unsupervised Learning of Probabilistic Grammars
    14 years 5 months ago
    Covariance in Unsupervised Learning of Probabilistic Grammars
    Download  jmlr.csail.mit.edu
    Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
    Shay B. Cohen, Noah A. Smith
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