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    SIMVIS
    2007
    190views Computer Animation» more  SIMVIS 2007»
    Chances and Limits of Progression in Visualization
    13 years 9 months ago
    Chances and Limits of Progression in Visualization
    Download  www.informatik.uni-rostock.de
    The amount of data to be represented by visualization systems requires new ideas for data processing and representation. As proposed in this contribution, this might be solved by ...
    René Rosenbaum, Heidrun Schumann
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    AAAI
    2006
    229views Intelligent Agents» more  AAAI 2006»
    When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
    13 years 9 months ago
    When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
    Download  www.bkveton.com
    Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
    Denver Dash, Branislav Kveton, John Mark Agosta, E...
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    AAAI
    2004
    172views Intelligent Agents» more  AAAI 2004»
    Mobile Emergency Triage Support System
    13 years 9 months ago
    Mobile Emergency Triage Support System
    Download  www.aaai.org
    We are designing and developing a mobile clinical decision support system, known as MET (Mobile Emergency Triage), for supporting emergency triage of different types of acute pain...
    Wojtek Michalowski, Roman Slowinski, Szymon Wilk
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    AAAI
    2004
    167views Intelligent Agents» more  AAAI 2004»
    SCoT: A Spoken Conversational Tutor
    13 years 9 months ago
    SCoT: A Spoken Conversational Tutor
    Download  www.aaai.org
    We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
    Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...
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    ACL
    2006
    161views Computational Linguistics» more  ACL 2006»
    Minimum Risk Annealing for Training Log-Linear Models
    13 years 9 months ago
    Minimum Risk Annealing for Training Log-Linear Models
    Download  www.cs.jhu.edu
    When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
    David A. Smith, Jason Eisner
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