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    ICML
    2007
    IEEE
    170views Machine Learning» more  ICML 2007»
    Self-taught learning: transfer learning from unlabeled data
    14 years 8 months ago
    Self-taught learning: transfer learning from unlabeled data
    Download  www.stanford.edu
    We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
    Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
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    KDD
    1995
    ACM
    148views Data Mining» more  KDD 1995»
    Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
    13 years 11 months ago
    Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
    Download  www.aaai.org
    Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
    Philip K. Chan, Salvatore J. Stolfo
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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    13 years 7 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    Download  www.biomedcentral.com
    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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    ML
    2006
    ACM
    93views Machine Learning» more  ML 2006»
    Application of abductive ILP to learning metabolic network inhibition from temporal data
    13 years 7 months ago
    Application of abductive ILP to learning metabolic network inhibition from temporal data
    Download  pubs.doc.ic.ac.uk
    Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis...
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    ACL
    2011
    202views Computational Linguistics» more  ACL 2011»
    Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
    12 years 11 months ago
    Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
    Download  www.aclweb.org
    Jun Suzuki, Hideki Isozaki, Masaaki Nagata
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