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    SDM
    2007
    SIAM
    143views Data Mining» more  SDM 2007»
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    13 years 9 months ago
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    Download  www.cs.cmu.edu
    Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
    Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
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    ACL
    2006
    182views Computational Linguistics» more  ACL 2006»
    Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
    13 years 9 months ago
    Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
    Download  www.cse.iitb.ac.in
    In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
    Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
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    ESANN
    2006
    202views Neural Networks» more  ESANN 2006»
    Data topology visualization for the Self-Organizing Map
    13 years 9 months ago
    Data topology visualization for the Self-Organizing Map
    Download  www.dice.ucl.ac.be
    The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
    Kadim Tasdemir, Erzsébet Merényi
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    NIPS
    2004
    215views Information Technology» more  NIPS 2004»
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    13 years 9 months ago
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    Download  books.nips.cc
    We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
    Chakra Chennubhotla, Allan D. Jepson
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    WSC
    2000
    177views Modeling And Simulation» more  WSC 2000»
    Model abstraction for discrete event systems using neural networks and sensitivity information
    13 years 8 months ago
    Model abstraction for discrete event systems using neural networks and sensitivity information
    Download  www.informs-sim.org
    STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
    Christos G. Panayiotou, Christos G. Cassandras, We...
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