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    NIPS
    2007
    185views Information Technology» more  NIPS 2007»
    Nearest-Neighbor-Based Active Learning for Rare Category Detection
    15 years 4 months ago
    Nearest-Neighbor-Based Active Learning for Rare Category Detection
    Download  books.nips.cc
    Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
    Jingrui He, Jaime G. Carbonell
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    104
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    AAAI
    2006
    125views Intelligent Agents» more  AAAI 2006»
    Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
    15 years 4 months ago
    Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
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    Many planning and design problems can be characterized as optimal search over a constrained network of conditional choices with preferences. To draw upon the advanced methods of c...
    Robert T. Effinger, Brian C. Williams
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    AAAI
    2006
    111views Intelligent Agents» more  AAAI 2006»
    Estimating Search Tree Size
    15 years 4 months ago
    Estimating Search Tree Size
    Download  www.cse.unsw.edu.au
    We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
    Philip Kilby, John K. Slaney, Sylvie Thiéba...
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    101
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    FLAIRS
    2003
    120views Artificial Intelligence» more  FLAIRS 2003»
    On the Computation of Local Interchangeability in Soft Constraint Satisfaction Problems
    15 years 4 months ago
    On the Computation of Local Interchangeability in Soft Constraint Satisfaction Problems
    Download  www.aaai.org
    Freuder in (1991) defined interchangeability for classical Constraint Satisfaction Problems (CSPs). Recently (2002), we extended the definition of interchangeability to Soft CSP...
    Nicoleta Neagu, Stefano Bistarelli, Boi Faltings
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    NIPS
    2004
    115views Information Technology» more  NIPS 2004»
    Euclidean Embedding of Co-Occurrence Data
    15 years 4 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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