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    INFOSCALE
    2007
    ACM
    104views Information Technology» more  INFOSCALE 2007»
    Query-driven indexing for scalable peer-to-peer text retrieval
    13 years 10 months ago
    Query-driven indexing for scalable peer-to-peer text retrieval
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    We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been ide...
    Gleb Skobeltsyn, Toan Luu, Ivana Podnar Zarko, Mar...
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    ISEMANTICS
    2010
    165views Machine Learning» more  ISEMANTICS 2010»
    Foundations of data interoperability on the web: a web science perspective
    13 years 10 months ago
    Foundations of data interoperability on the web: a web science perspective
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    In this paper, when we use the term ontology, we are primarily referring to linked data in the form of RDF(S). The problem of ontology mapping has attracted considerable attention...
    Hamid Haidarian Shahri
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    DGO
    2007
    121views Education» more  DGO 2007»
    Social capital and ICT adoption in the public sector
    13 years 10 months ago
    Social capital and ICT adoption in the public sector
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    Although the research domain on social capital and the adoption of Information and Communication Technologies (ICTs) is relatively immature, there is a fast growing body of eviden...
    Noor Huijboom
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    ESANN
    2007
    106views Neural Networks» more  ESANN 2007»
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    13 years 10 months ago
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
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    Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) b...
    Jan-Hendrik Schleimer, Ricardo Vigário
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    ESANN
    2007
    187views Neural Networks» more  ESANN 2007»
    How to process uncertainty in machine learning?
    13 years 10 months ago
    How to process uncertainty in machine learning?
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    Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
    Barbara Hammer, Thomas Villmann
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