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    ECIS
    2003
    137views Information Technology» more  ECIS 2003»
    From traditional to virtual organisation: implications for work unit boundaries
    13 years 9 months ago
    From traditional to virtual organisation: implications for work unit boundaries
    Download  is2.lse.ac.uk
    Boundary and virtual organisation theory were used to study the implications of organisation level virtualisation for work units. A single case study in a geographically dispersed...
    Christopher J. Hemingway, Karin Breu
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    TREC
    2004
    124views Information Technology» more  TREC 2004»
    Amberfish at the TREC 2004 Terabyte Track
    13 years 9 months ago
    Amberfish at the TREC 2004 Terabyte Track
    Download  trec.nist.gov
    The TREC 2004 Terabyte Track evaluated information retrieval in largescale text collections, using a set of 25 million documents (426 GB). This paper gives an overview of our expe...
    Nassib Nassar
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    AAAI
    1998
    124views Intelligent Agents» more  AAAI 1998»
    Fast Probabilistic Modeling for Combinatorial Optimization
    13 years 9 months ago
    Fast Probabilistic Modeling for Combinatorial Optimization
    Download  www.cs.cmu.edu
    Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
    Shumeet Baluja, Scott Davies
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    WM
    2003
    153views Knowledge Management» more  WM 2003»
    Knowledge discovery methods
    13 years 9 months ago
    Knowledge discovery methods
    Download  sunsite.informatik.rwth-aachen.de
    : Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
    Stefan Smolnik
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    13 years 9 months ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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