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    FLAIRS
    2006
    139views Artificial Intelligence» more  FLAIRS 2006»
    Context-based Term Disambiguation in Biomedical Literature
    13 years 11 months ago
    Context-based Term Disambiguation in Biomedical Literature
    Download  cms.dt.uh.edu
    The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
    Ping Chen, Hisham Al-Mubaid
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    ICMLA
    2004
    113views Machine Learning» more  ICMLA 2004»
    Two new regularized AdaBoost algorithms
    13 years 11 months ago
    Two new regularized AdaBoost algorithms
    Download  plaza.ufl.edu
    AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
    Yijun Sun, Jian Li, William W. Hager
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    DAGSTUHL
    2001
    101views Software Engineering» more  DAGSTUHL 2001»
    Understanding Algorithms by Means of Visualized Path Testing
    13 years 11 months ago
    Understanding Algorithms by Means of Visualized Path Testing
    Download  www.cs.hut.fi
    Visualization of an algorithm offers only a rough picture of operations. Explanations are crucial for deeper understanding, because they help the viewer to associate the visualiza...
    Ari Korhonen, Erkki Sutinen, Jorma Tarhio
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    ECIR
    2003
    Springer
    116views Information Technology» more  ECIR 2003»
    Discretizing Continuous Attributes in AdaBoost for Text Categorization
    13 years 11 months ago
    Discretizing Continuous Attributes in AdaBoost for Text Categorization
    Download  nmis.isti.cnr.it
    Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
    Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
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    NAACL
    2004
    112views Computational Linguistics» more  NAACL 2004»
    Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
    13 years 11 months ago
    Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
    Download  acl.ldc.upenn.edu
    We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
    Katherine Forbes-Riley, Diane J. Litman
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