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    LREC
    2008
    150views Education» more  LREC 2008»
    Causal Relation Extraction
    13 years 11 months ago
    Causal Relation Extraction
    Download  www.lrec-conf.org
    This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
    Eduardo Blanco, Núria Castell, Dan I. Moldo...
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    LWA
    2007
    151views Software Engineering» more  LWA 2007»
    Know the Right People? Recommender Systems for Web 2.0
    13 years 11 months ago
    Know the Right People? Recommender Systems for Web 2.0
    Download  www.l3s.de
    Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
    Stefan Siersdorfer, Sergej Sizov, Paul Clough
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    NIPS
    2007
    165views Information Technology» more  NIPS 2007»
    Expectation Maximization and Posterior Constraints
    13 years 11 months ago
    Expectation Maximization and Posterior Constraints
    Download  www.seas.upenn.edu
    The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
    João Graça, Kuzman Ganchev, Ben Task...
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    RIAO
    2007
    112views Information Technology» more  RIAO 2007»
    Investigating Retrieval Performance with Manually-Built Topic Models
    13 years 11 months ago
    Investigating Retrieval Performance with Manually-Built Topic Models
    Download  riao.free.fr
    Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
    Xing Wei, W. Bruce Croft
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    ESANN
    2006
    130views Neural Networks» more  ESANN 2006»
    Classification by means of Evolutionary Response Surfaces
    13 years 11 months ago
    Classification by means of Evolutionary Response Surfaces
    Download  www.dice.ucl.ac.be
    Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
    Rafael del Castillo Gomariz, Nicolás Garc&i...
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