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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    14 years 10 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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    NECO
    2006
    157views more  NECO 2006»
    Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
    14 years 10 months ago
    Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
    Download  www.ihe.nl
    The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
    Durga L. Shrestha, Dimitri P. Solomatine
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    NPL
    2006
    130views more  NPL 2006»
    A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
    14 years 10 months ago
    A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
    Download  www.computing.edu.au
    This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
    Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
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    PRL
    2008
    246views more  PRL 2008»
    Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
    14 years 10 months ago
    Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
    Download  www-i6.informatik.rwth-aachen.de
    In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described. The paper focusses on the images used, the ...
    Thomas Deselaers, Thomas Martin Deserno, Henning M...
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    PRL
    2006
    121views more  PRL 2006»
    Information-preserving hybrid data reduction based on fuzzy-rough techniques
    14 years 9 months ago
    Information-preserving hybrid data reduction based on fuzzy-rough techniques
    Download  www.turbo.hit.edu.cn
    Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
    Qinghua Hu, Daren Yu, Zongxia Xie
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