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    INFORMS
    2007
    123views more  INFORMS 2007»
    Constructing Ensembles from Data Envelopment Analysis
    13 years 8 months ago
    Constructing Ensembles from Data Envelopment Analysis
    Download  www.utdallas.edu
    It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
    Zhiqiang Zheng, Balaji Padmanabhan
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    IGARSS
    2010
    149views Remote Sensing» more  IGARSS 2010»
    Preliminary result of polarization property analysis using fully polarimetric GB-SAR images
    13 years 6 months ago
    Preliminary result of polarization property analysis using fully polarimetric GB-SAR images
    Download  sar.kangwon.ac.kr
    Korea Institute of Geoscience and Mineral Resources (KIGAM) and Kangwon National University (KNU) ground-based synthetic aperture radar (GB-SAR) team has been developed a fully po...
    Moon-Kyung Kang, Kwang-Eun Kim, Hoonyol Lee, Seong...
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    EMNLP
    2008
    107views Natural Language Processing» more  EMNLP 2008»
    Discriminative Learning of Selectional Preference from Unlabeled Text
    13 years 10 months ago
    Discriminative Learning of Selectional Preference from Unlabeled Text
    Download  www.aclweb.org
    We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
    Shane Bergsma, Dekang Lin, Randy Goebel
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    LREC
    2008
    131views Education» more  LREC 2008»
    Learning Morphology with Morfette
    13 years 10 months ago
    Learning Morphology with Morfette
    Download  www.lrec-conf.org
    Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
    Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
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    ESANN
    2006
    199views Neural Networks» more  ESANN 2006»
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    13 years 10 months ago
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    Download  www.nada.kth.se
    We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
    Rebecca Steinert, Martin Rehn, Anders Lansner
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