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    AAAI
    2010
    222views Intelligent Agents» more  AAAI 2010»
    A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
    13 years 11 months ago
    A Belief Revision Framework for Revising Epistemic States with Partial Epistemic States
    Download  www.cs.qub.ac.uk
    Belief revision performs belief change on an agent's beliefs when new evidence (either of the form of a propositional formula or of the form of a total pre-order on a set of ...
    Jianbing Ma, Weiru Liu, Salem Benferhat
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    BCSHCI
    2007
    82views Human Computer Interaction» more  BCSHCI 2007»
    Thanks for the memory
    13 years 11 months ago
    Thanks for the memory
    Download  research.microsoft.com
    This paper reports the trial of a memory prosthesis, SenseCam, as a resource for digital narratives. Over a period of one week, six participants were asked to use SenseCams to cap...
    Richard H. R. Harper, Dave W. Randall, N. Smythe, ...
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    DGO
    2007
    125views Education» more  DGO 2007»
    Members of congress websites: diffusion at the tip of the iceberg
    13 years 11 months ago
    Members of congress websites: diffusion at the tip of the iceberg
    Download  www.dgsociety.org
    How do Members of Congress manage the opportunities that the Internet offers? Here we present the initial results from interviews with 100 Congressional offices about their decisi...
    David Lazer, Ines Mergel, Curt Ziniel, Kevin Ester...
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    EUSFLAT
    2003
    175views Fuzzy Logic» more  EUSFLAT 2003»
    A multiattribute decision making approach using intuitionistic fuzzy sets
    13 years 11 months ago
    A multiattribute decision making approach using intuitionistic fuzzy sets
    Download  www.eusflat.org
    The concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets. The theory of intuitionistic fuzzy sets is well suited to dealing with vagueness. Rece...
    Deng-Feng Li, Jian-Bo Yang
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    NIPS
    2001
    185views Information Technology» more  NIPS 2001»
    Probabilistic principles in unsupervised learning of visual structure: human data and a model
    13 years 11 months ago
    Probabilistic principles in unsupervised learning of visual structure: human data and a model
    Download  www.physics.brown.edu
    To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
    Shimon Edelman, Benjamin P. Hiles, Hwajin Yang, Na...
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