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    PKDD
    1999
    Springer
    118views Data Mining» more  PKDD 1999»
    Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
    15 years 2 months ago
    Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
    Download  conceptoriented.org
    We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
    Alexandr A. Savinov
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    ICRA
    2009
    IEEE
    163views Robotics» more  ICRA 2009»
    3D tree reconstruction from laser range data
    15 years 4 months ago
    3D tree reconstruction from laser range data
    Download  cres.usc.edu
    — We present a method for reconstructing 3D models of tree branch structure from laser range data. Our approach is probabilistic, and uses a generative model of a tree to guide a...
    Jonathan Binney, Gaurav S. Sukhatme
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    ACL
    1996
    115views Computational Linguistics» more  ACL 1996»
    Generating an LTAG out of a Principle-based Hierarchical Representation
    14 years 11 months ago
    Generating an LTAG out of a Principle-based Hierarchical Representation
    Download  www.aclweb.org
    Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92). We p...
    Marie-Hélène Candito
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    14 years 10 months ago
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    Download  www.biomedcentral.com
    Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
    Zihua Hu, Gail R. Willsky
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    FLAIRS
    2007
    174views Artificial Intelligence» more  FLAIRS 2007»
    A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
    15 years 15 days ago
    A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
    Download  www.aaai.org
    Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
    Jorge de la Calleja, Olac Fuentes
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