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    ICCCN
    2007
    IEEE
    158views Communications» more  ICCCN 2007»
    Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
    15 years 4 months ago
    Large-Scale QoS-Aware Service-Oriented Networking with a Clustering-Based Approach
    Download  cairo.cs.uiuc.edu
    —Motivated by the fact that most of the existing QoS service composition solutions have limited scalability, we develop a hierarchical-based solution framework to achieve scalabi...
    Jingwen Jin, Jin Liang, Jingyi Jin, Klara Nahrsted...
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    TOCL
    2008
    113views more  TOCL 2008»
    Abstract state machines capture parallel algorithms: Correction and extension
    14 years 9 months ago
    Abstract state machines capture parallel algorithms: Correction and extension
    Download  tocl.acm.org
    State Machines Capture Parallel Algorithms: Correction and Extension ANDREAS BLASS University of Michigan and YURI GUREVICH Microsoft Research We consider parallel algorithms worki...
    Andreas Blass, Yuri Gurevich
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    HYBRID
    2009
    Springer
    110views Control Systems» more  HYBRID 2009»
    Discrete-State Abstractions of Nonlinear Systems Using Multi-resolution Quantizer
    15 years 4 months ago
    Discrete-State Abstractions of Nonlinear Systems Using Multi-resolution Quantizer
    Download  www.suzlab.nuem.nagoya-u.ac.jp
    Yuichi Tazaki, Jun-ichi Imura
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    ICFEM
    2009
    Springer
    80views Software Engineering» more  ICFEM 2009»
    Verifying Stateful Timed CSP Using Implicit Clocks and Zone Abstraction
    15 years 4 months ago
    Verifying Stateful Timed CSP Using Implicit Clocks and Zone Abstraction
    Download  www.comp.nus.edu.sg
    Jun Sun 0001, Yang Liu 0003, Jin Song Dong, Xian Z...
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    AUSAI
    2007
    Springer
    97views Artificial Intelligence» more  AUSAI 2007»
    Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning
    15 years 4 months ago
    Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning
    Download  www.cse.unsw.edu.au
    Bernhard Hengst
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