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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    He, Z., Xu, R.-J. & Wang, B.-H. Network reconstruction by stationary distribution data of Markov chains based on correlation analysis

    [Abstract] [BibTeX]

    		 2014   misc URL 
    Abstract: We propose a new method for network reconstruction by the stationary
    stribution data of Markov chains on this network. Our method has the merits
    at: the data we need are much few than most method and need not defer to the
    me order, and we do not need the input data. We define some criterions to
    asure the efficacy and the simulation results on several networks, including
    mputer-generated networks and real networks, indicate our method works well.
    e method consist of two procedures, fist, reconstruct degree sequence,
    cond, reconstruct the network(or edges). And we test the efficacy of each
    ocedure.
    BibTeX: 
    @misc{he2014network,
  author = {He, Zhe and Xu, Rui-Jie and Wang, Bing-Hong},
  title = {Network reconstruction by stationary distribution data of Markov chains
    based on correlation analysis},
  year = {2014},
  note = {cite arxiv:1410.4120Comment: 4 pages, 3 figures},
  url = {http://arxiv.org/abs/1410.4120}
}
    Toepfer, M., Kluegl, P., Hotho, A. & Puppe, F. Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions

    [BibTeX]

    		 2011 Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation  inproceedings URL 
    BibTeX: 
    @inproceedings{toepfer2011segmentation,
  author = {Toepfer, Martin and Kluegl, Peter and Hotho, Andreas and Puppe, Frank},
  title = {Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions},
  booktitle = {Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation},
  year = {2011},
  url = {http://ki.informatik.uni-wuerzburg.de/papers/pkluegl/2011-LWA-SkYp.pdf}
}
    Gilks, W. & Spiegelhalter, D. Markov chain Monte Carlo in practice

    [BibTeX]

    		 1996   book URL 
    BibTeX: 
    @book{gilks1996markov,
  author = {Gilks, W.R. and Spiegelhalter, DJ},
  title = {Markov chain Monte Carlo in practice},
  publisher = {Chapman & Hall/CRC},
  year = {1996},
  url = {http://scholar.google.de/scholar.bib?q=info:AN5YKWErdFAJ:scholar.google.com/&output=citation&hl=de&ct=citation&cd=0}
}

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