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    CSMR
    2005
    IEEE
    96views Software Engineering» more  CSMR 2005»
    An XML-Based Framework for Language Neutral Program Representation and Generic Analysis
    14 years 3 months ago
    An XML-Based Framework for Language Neutral Program Representation and Generic Analysis
    Download  swag.uwaterloo.ca
    XML applications are becoming increasingly popular to define structured or semi-structured constrained data in XML for special application areas. In pursuit there is a growing mom...
    Raihan Al-Ekram, Kostas Kontogiannis
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    BMCBI
    2007
    157views more  BMCBI 2007»
    Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
    13 years 10 months ago
    Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
    Download  www.biomedcentral.com
    Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
    Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
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    GFKL
    2004
    Springer
    97views Data Mining» more  GFKL 2004»
    Experimental Design for Variable Selection in Data Bases
    14 years 3 months ago
    Experimental Design for Variable Selection in Data Bases
    Download  eldorado.uni-dortmund.de
    This paper analyses the influence of 13 stylized facts of the German economy on the West German business cycles from 1955 to 1994. The method used in this investigation is Statist...
    Constanze Pumplün, Claus Weihs, Andrea Preuss...
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    12 years 12 days ago
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    Download  aclweb.org
    Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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    EMNLP
    2009
    177views Natural Language Processing» more  EMNLP 2009»
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    13 years 7 months ago
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    Download  www.aclweb.org
    We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
    Matti Kääriäinen
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