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    KDD
    2007
    ACM
    139views Data Mining» more  KDD 2007»
    Raising the baseline for high-precision text classifiers
    14 years 8 months ago
    Raising the baseline for high-precision text classifiers
    Download  ir.iit.edu
    Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
    Aleksander Kolcz, Wen-tau Yih
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    IUI
    2005
    ACM
    132views Software Engineering» more  IUI 2005»
    Active preference learning for personalized calendar scheduling assistance
    14 years 1 months ago
    Active preference learning for personalized calendar scheduling assistance
    Download  www.eecs.umich.edu
    We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
    Melinda T. Gervasio, Michael D. Moffitt, Martha E....
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    JCDL
    2009
    ACM
    139views Education» more  JCDL 2009»
    Topic model methods for automatically identifying out-of-scope resources
    14 years 2 months ago
    Topic model methods for automatically identifying out-of-scope resources
    Download  www.stanford.edu
    Recent years have seen the rise of subject-themed digital libraries, such as the NSDL pathways and the Digital Library for Earth System Education (DLESE). These libraries often ne...
    Steven Bethard, Soumya Ghosh, James H. Martin, Tam...
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    IWLCS
    2005
    Springer
    161views Machine Learning» more  IWLCS 2005»
    Counter Example for Q-Bucket-Brigade Under Prediction Problem
    14 years 1 months ago
    Counter Example for Q-Bucket-Brigade Under Prediction Problem
    Download  www.cs.bham.ac.uk
    Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...
    Atsushi Wada, Keiki Takadama, Katsunori Shimohara
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    DGO
    2008
    126views Education» more  DGO 2008»
    Active learning for e-rulemaking: public comment categorization
    13 years 9 months ago
    Active learning for e-rulemaking: public comment categorization
    Download  www.cs.cornell.edu
    We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
    Stephen Purpura, Claire Cardie, Jesse Simons
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