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    » Learning Term-weighting Functions for Similarity Measures
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    TREC
    2004
    160views Information Technology» more  TREC 2004»
    Can We Get A Better Retrieval Function From Machine?
    13 years 9 months ago
    Can We Get A Better Retrieval Function From Machine?
    Download  trec.nist.gov
    The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
    Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
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    SWWS
    2008
    136views Internet Technology» more  SWWS 2008»
    A Harmony based Adaptive Ontology Mapping Approach
    13 years 9 months ago
    A Harmony based Adaptive Ontology Mapping Approach
    Download  www.dit.unitn.it
    - Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
    Ming Mao, Yefei Peng, Michael Spring
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    ICASSP
    2009
    IEEE
    156views Signal Processing» more  ICASSP 2009»
    Fingerprint matching based on distance metric learning
    14 years 2 months ago
    Fingerprint matching based on distance metric learning
    Download  fft1.kaist.ac.kr
    This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
    Dalwon Jang, Chang D. Yoo
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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    13 years 9 months ago
    Synthesis of maximum margin and multiview learning using unlabeled data
    Download  www.dice.ucl.ac.be
    In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
    Sándor Szedmák, John Shawe-Taylor
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 7 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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