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    DAGSTUHL
    2007
    153views Software Engineering» more  DAGSTUHL 2007»
    Interdisciplinary Design Research for End-User Software Engineering
    13 years 11 months ago
    Interdisciplinary Design Research for End-User Software Engineering
    Download  drops.dagstuhl.de
    rocesses involve modeling – simplifying or abstracting some aspects of the problem domain in order to plan and evaluate design decisions. The use of representations to reason abo...
    Alan F. Blackwell
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    IIR
    2010
    127views Information Technology» more  IIR 2010»
    An IR-Based Approach for Tag Recommendation
    13 years 11 months ago
    An IR-Based Approach for Tag Recommendation
    Download  sunsite.informatik.rwth-aachen.de
    Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
    Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
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    DAGSTUHL
    2007
    105views Software Engineering» more  DAGSTUHL 2007»
    How Fast can be Algebraic Attacks on Block Ciphers?
    13 years 11 months ago
    How Fast can be Algebraic Attacks on Block Ciphers?
    Download  eprint.iacr.org
    In this paper we give a specification of a new block cipher that can be called the Courtois Toy Cipher (CTC). It is quite simple, and yet very much like any other known block ciph...
    Nicolas Courtois
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    DGO
    2008
    126views Education» more  DGO 2008»
    Active learning for e-rulemaking: public comment categorization
    13 years 11 months ago
    Active learning for e-rulemaking: public comment categorization
    Download  www.cs.cornell.edu
    We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
    Stephen Purpura, Claire Cardie, Jesse Simons
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    ESANN
    2007
    187views Neural Networks» more  ESANN 2007»
    How to process uncertainty in machine learning?
    13 years 11 months ago
    How to process uncertainty in machine learning?
    Download  www.dice.ucl.ac.be
    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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