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    NIPS
    2007
    208views Information Technology» more  NIPS 2007»
    Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
    13 years 9 months ago
    Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
    Download  books.nips.cc
    We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
    Amir Globerson, Tommi Jaakkola
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    SIMVIS
    2007
    210views Computer Animation» more  SIMVIS 2007»
    Development of a Mixed Reality Device for Interactive On-Site Geo-visualization
    13 years 9 months ago
    Development of a Mixed Reality Device for Interactive On-Site Geo-visualization
    Download  www.ikg.uni-hannover.de
    This paper reports on the development of a novel mixed reality I/O device tailored to the requirements of interaction with geo-spatial data in the immediate environment of the use...
    Volker Paelke, Claus Brenner
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    AVI
    2004
    106views Software Engineering» more  AVI 2004»
    ValueCharts: analyzing linear models expressing preferences and evaluations
    13 years 9 months ago
    ValueCharts: analyzing linear models expressing preferences and evaluations
    Download  people.cs.ubc.ca
    In this paper we propose ValueCharts, a set of visualizations and interactive techniques intended to support decision-makers in inspecting linear models of preferences and evaluat...
    Giuseppe Carenini, John Loyd
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    FLAIRS
    2006
    137views Artificial Intelligence» more  FLAIRS 2006»
    Cognitive Simulation in Virtual Patients
    13 years 9 months ago
    Cognitive Simulation in Virtual Patients
    Download  www.aaai.org
    We present an overview of the Virtual Patient project at the University of Maryland, which is developing a cognitive model of humans experiencing various states of health and dise...
    Sergei Nirenburg, Marjorie McShane, Stephen Beale,...
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    NIPS
    2004
    127views Information Technology» more  NIPS 2004»
    Maximising Sensitivity in a Spiking Network
    13 years 9 months ago
    Maximising Sensitivity in a Spiking Network
    Download  books.nips.cc
    We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
    Anthony J. Bell, Lucas C. Parra
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