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    » On Acyclicity of Games with Cycles
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    DM
    2010
    75views more  DM 2010»
    Acyclic, or totally tight, two-person game forms: Characterization and main properties
    13 years 7 months ago
    Acyclic, or totally tight, two-person game forms: Characterization and main properties
    Download  dimacs.rutgers.edu
    Endre Boros, Vladimir Gurvich, Kazuhisa Makino, D&...
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    IPL
    2008
    82views more  IPL 2008»
    On fully orientability of 2-degenerate graphs
    13 years 7 months ago
    On fully orientability of 2-degenerate graphs
    Download  math.cts.ntu.edu.tw
    Suppose that D is an acyclic orientation of the graph G. An arc of D is dependent if its reversal creates a directed cycle. Let d(D) denote the number of dependent arcs in D. Defi...
    Hsin-Hao Lai, Gerard J. Chang, Ko-Wei Lih
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    WIRN
    2005
    Springer
    249views Artificial Intelligence» more  WIRN 2005»
    Recursive Neural Networks and Graphs: Dealing with Cycles
    14 years 25 days ago
    Recursive Neural Networks and Graphs: Dealing with Cycles
    Download  nautilus.dii.unisi.it
    Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
    Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
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    DAGSTUHL
    2007
    107views Software Engineering» more  DAGSTUHL 2007»
    Exact Elimination of Cycles in Graphs
    13 years 8 months ago
    Exact Elimination of Cycles in Graphs
    Download  drops.dagstuhl.de
    One of the standard basic steps in drawing hierarchical graphs is to invert some arcs of the given graph to make the graph acyclic. We discuss exact and parameterized algorithms fo...
    Daniel Raible, Henning Fernau
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    IICAI
    2003
    166views Artificial Intelligence» more  IICAI 2003»
    The Acyclic Bayesian Net Generator
    13 years 8 months ago
    The Acyclic Bayesian Net Generator
    Download  digital.cs.usu.edu
    Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
    Pankaj B. Gupta, Vicki H. Allan
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