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    SDM
    2010
    SIAM
    213views Data Mining» more  SDM 2010»
    Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
    14 years 11 months ago
    Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
    Download  uni-koblenz.de
    We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
    Jérôme Kunegis, Stephan Schmidt, Andr...
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    SIROCCO
    2010
    148views Information Technology» more  SIROCCO 2010»
    Average Long-Lived Memoryless Consensus: The Three-Value Case
    14 years 11 months ago
    Average Long-Lived Memoryless Consensus: The Three-Value Case
    Download  www.dim.uchile.cl
    Abstract. We study strategies that minimize the instability of a faulttolerant consensus system. More precisely, we find the strategy than minimizes the number of output changes ov...
    Ivan Rapaport, Eric Rémila
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    NIPS
    2007
    217views Information Technology» more  NIPS 2007»
    Semi-Supervised Multitask Learning
    14 years 11 months ago
    Semi-Supervised Multitask Learning
    Download  books.nips.cc
    A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
    Qiuhua Liu, Xuejun Liao, Lawrence Carin
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    ACL
    2006
    77views Computational Linguistics» more  ACL 2006»
    LexNet: A Graphical Environment for Graph-Based NLP
    14 years 11 months ago
    LexNet: A Graphical Environment for Graph-Based NLP
    Download  clair.si.umich.edu
    This interactive presentation describes LexNet, a graphical environment for graph-based NLP developed at the University of Michigan. LexNet includes LexRank (for text summarizatio...
    Dragomir R. Radev, Günes Erkan, Anthony Fader...
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    NIPS
    2004
    115views Information Technology» more  NIPS 2004»
    Euclidean Embedding of Co-Occurrence Data
    14 years 11 months ago
    Euclidean Embedding of Co-Occurrence Data
    Download  www.seas.upenn.edu
    Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
    Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
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