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    CSREAESA
    2003
    160views Embedded Systems» more  CSREAESA 2003»
    Worst Case Execution Time Analysis for Petri Net Models of Embedded Systems
    13 years 11 months ago
    Worst Case Execution Time Analysis for Petri Net Models of Embedded Systems
    Download  www.c-lab.de
    We present an approach for Worst-Case Execution Time (WCET) Analysis of embedded system software, that is generated from Petri net specifications. The presented approach is part ...
    Friedhelm Stappert, Carsten Rust
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    WSC
    2001
    109views Modeling And Simulation» more  WSC 2001»
    Hierarchical modeling of a shipyard integrated with an external scheduling application
    13 years 11 months ago
    Hierarchical modeling of a shipyard integrated with an external scheduling application
    Download  www.informs-sim.org
    This paper presents a hierarchical approach on the simulation of large-scale discrete event systems used recently by Kiran Consulting Group (KCG) to model shipyard operations. Bec...
    Ali S. Kiran, Tekin Cetinkaya, Juan Cabrera
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    WSC
    2004
    153views Modeling And Simulation» more  WSC 2004»
    Decision Tree Module Within Decision Support Simulation System
    13 years 11 months ago
    Decision Tree Module Within Decision Support Simulation System
    Download  www.informs-sim.org
    Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. Th...
    Mohamed Moussa, Janaka Y. Ruwanpura, George Jergea...
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    NIPS
    2003
    132views Information Technology» more  NIPS 2003»
    Ambiguous Model Learning Made Unambiguous with 1/f Priors
    13 years 11 months ago
    Ambiguous Model Learning Made Unambiguous with 1/f Priors
    Download  books.nips.cc
    What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
    Gurinder S. Atwal, William Bialek
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    UAI
    2003
    132views Artificial Intelligence» more  UAI 2003»
    Decentralized Sensor Fusion with Distributed Particle Filters
    13 years 11 months ago
    Decentralized Sensor Fusion with Distributed Particle Filters
    Download  www.cs.cmu.edu
    This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized arch...
    Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
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