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Auflistung nach Autor:in "Sander, Jennifer"

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  • Konferenzbeitrag
    Decision theoretic approaches for focussed Bayesian fusion
    (INFORMATIK 2011 – Informatik schafft Communities, 2011) Sander, Jennifer; Beyerer, Jürgen
    Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian fusion can get circumvented. This publication addresses globally optimal decision making on the basis of a focussed Bayesian model. Therefore, common decision criteria under linear partial information and in particular principles of lazy decision making are applied. We also present an interval scheme for global posterior probabilities whose informativeness is notably high.
  • Konferenzbeitrag
    Local Bayesian fusion realized via an agent based architecture
    (Informatik 2007 – Informatik trifft Logistik – Band 2, 2007) Sander, Jennifer; Beyerer, Jürgen
    In the field of reconnaissance and in many other real world applications, information from different possibly heterogenous information sources has to be fused for obtaining adequate results. We present a local Bayesian approach which is realized via an agent based architecture. In analogy to criminalistic investigators, fusion agents elaborate the posterior Degree of Belief of initial hypotheses by local Bayesian mod- elling and local Bayesian fusion. Thereby, the usually high computational complexity of the Bayesian methodology gets reduced significantly.