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    WEBDB
    2009
    Springer
    115views Database» more  WEBDB 2009»
    A Machine Learning Approach to Foreign Key Discovery
    14 years 2 months ago
    A Machine Learning Approach to Foreign Key Discovery
    Download  webdb09.cse.buffalo.edu
    We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
    Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
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    IRCDL
    2008
    143views Digital Library» more  IRCDL 2008»
    A New Machine Learning Based Approach for Sentiment Classification of Italian documents
    13 years 9 months ago
    A New Machine Learning Based Approach for Sentiment Classification of Italian documents
    Download  celfi.unimc.it
    Several sites allow users to publish personal reviews about products and services available on the market. In this paper, we consider the problem of applying classification techniq...
    Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirma...
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    IAJIT
    2007
    104views more  IAJIT 2007»
    A Learning-Classification Based Approach for Word Prediction
    13 years 7 months ago
    A Learning-Classification Based Approach for Word Prediction
    Download  sce.uhcl.edu
    : Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
    Hisham Al-Mubaid
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    ICCV
    2005
    IEEE
    172views Computer Vision» more  ICCV 2005»
    A Generative/Discriminative Learning Algorithm for Image Classification
    14 years 9 months ago
    A Generative/Discriminative Learning Algorithm for Image Classification
    Download  www.cs.washington.edu
    We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
    Yi Li, Linda G. Shapiro, Jeff A. Bilmes
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    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 5 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
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