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    ICDM
    2009
    IEEE
    112views Data Mining» more  ICDM 2009»
    Resolving Identity Uncertainty with Learned Random Walks
    14 years 2 months ago
    Resolving Identity Uncertainty with Learned Random Walks
    Download  www.seas.upenn.edu
    A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
    Ted Sandler, Lyle H. Ungar, Koby Crammer
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    PR
    2008
    169views more  PR 2008»
    A survey of kernel and spectral methods for clustering
    13 years 7 months ago
    A survey of kernel and spectral methods for clustering
    Download  lagis-vi.univ-lille1.fr
    Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
    Maurizio Filippone, Francesco Camastra, Francesco ...
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    ISCI
    2007
    170views more  ISCI 2007»
    Automatic learning of cost functions for graph edit distance
    13 years 7 months ago
    Automatic learning of cost functions for graph edit distance
    Download  www.iam.unibe.ch
    Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
    Michel Neuhaus, Horst Bunke
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    GLVLSI
    2008
    IEEE
    129views VLSI» more  GLVLSI 2008»
    Variational capacitance modeling using orthogonal polynomial method
    14 years 1 months ago
    Variational capacitance modeling using orthogonal polynomial method
    Download  www.ee.ucr.edu
    In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
    Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
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    EMNLP
    2010
    178views Natural Language Processing» more  EMNLP 2010»
    Turbo Parsers: Dependency Parsing by Approximate Variational Inference
    13 years 5 months ago
    Turbo Parsers: Dependency Parsing by Approximate Variational Inference
    Download  www.cs.cmu.edu
    We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
    André F. T. Martins, Noah A. Smith, Eric P....
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