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    COGSR
    2011
    105views more  COGSR 2011»
    Inductive rule learning on the knowledge level
    14 years 9 months ago
    Inductive rule learning on the knowledge level
    Download  www.icsi.berkeley.edu
    We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
    Ute Schmid, Emanuel Kitzelmann
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    SIAMDM
    2010
    101views more  SIAMDM 2010»
    Rationality and Strongly Polynomial Solvability of Eisenberg--Gale Markets with Two Agents
    14 years 9 months ago
    Rationality and Strongly Polynomial Solvability of Eisenberg--Gale Markets with Two Agents
    Download  www.cc.gatech.edu
    Inspired by the convex program of Eisenberg and Gale which captures Fisher markets with linear utilities, Jain and Vazirani [STOC, 2007] introduced the class of EisenbergGale (EG)...
    Deeparnab Chakrabarty, Nikhil R. Devanur, Vijay V....
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    ICDM
    2006
    IEEE
    296views Data Mining» more  ICDM 2006»
    Fast Random Walk with Restart and Its Applications
    15 years 8 months ago
    Fast Random Walk with Restart and Its Applications
    Download  www.cs.cmu.edu
    How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
    Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
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    143
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    ACL
    2008
    183views Computational Linguistics» more  ACL 2008»
    Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
    15 years 4 months ago
    Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
    Download  www.cs.cmu.edu
    We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
    Andrew Arnold, Ramesh Nallapati, William W. Cohen
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    149
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    JGAA
    2007
    135views more  JGAA 2007»
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    15 years 2 months ago
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    Download  www.emis.de
    Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
    Donatello Conte, Pasquale Foggia, Mario Vento
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