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    BCSHCI
    2008
    97views Human Computer Interaction» more  BCSHCI 2008»
    Low cost prototyping: part 2, or how to apply the thinking-aloud method efficiently
    13 years 9 months ago
    Low cost prototyping: part 2, or how to apply the thinking-aloud method efficiently
    Download  www.bcs.org
    Customer satisfaction with regard to user interfaces becomes increasingly more important and is, eventually, decisive for the selection of systems within a competitive market. End...
    Andreas Holzinger, Stephen Brown
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    DAGSTUHL
    2007
    153views Software Engineering» more  DAGSTUHL 2007»
    Interdisciplinary Design Research for End-User Software Engineering
    13 years 9 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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    DAGSTUHL
    2007
    212views Software Engineering» more  DAGSTUHL 2007»
    07431 Executive Summary - Computational Issues in Social Choice
    13 years 9 months ago
    07431 Executive Summary - Computational Issues in Social Choice
    Download  drops.dagstuhl.de
    Computational social choice is an interdisciplinary eld of study at the interface of social choice theory and computer science, with knowledge owing in either direction. On the o...
    Ulle Endriss, Jérôme Lang, Francesca ...
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    DAGSTUHL
    2008
    131views Software Engineering» more  DAGSTUHL 2008»
    Interactive Multiobjective Optimization Using a Set of Additive Value Functions
    13 years 9 months ago
    Interactive Multiobjective Optimization Using a Set of Additive Value Functions
    Download  www.lamsade.dauphine.fr
    Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
    José Rui Figueira, Salvatore Greco, Vincent...
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    ESANN
    2007
    187views Neural Networks» more  ESANN 2007»
    How to process uncertainty in machine learning?
    13 years 9 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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