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    ICMLA
    2008
    177views Machine Learning» more  ICMLA 2008»
    Calibrating Random Forests
    13 years 7 months ago
    Calibrating Random Forests
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    When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
    Henrik Boström
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    ICMLA
    2008
    130views Machine Learning» more  ICMLA 2008»
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
    13 years 7 months ago
    Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
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    Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
    Michael Gashler, Christophe G. Giraud-Carrier, Ton...
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    ICMLA
    2008
    97views Machine Learning» more  ICMLA 2008»
    Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Vari
    13 years 7 months ago
    Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Vari
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    This article presents an approach to estimating exercise energy expenditure based on acceleration measurements from a wrist-worn biaxial sensor. The method uses the linear mixed m...
    Eija Haapalainen, Perttu Laurinen, Juha Rönin...
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    ICMLA
    2008
    146views Machine Learning» more  ICMLA 2008»
    Multimodal Music Mood Classification Using Audio and Lyrics
    13 years 7 months ago
    Multimodal Music Mood Classification Using Audio and Lyrics
    Download  mtg.upf.edu
    In this paper we present a study on music mood classification using audio and lyrics information. The mood of a song is expressed by means of musical features but a relevant part ...
    Cyril Laurier, Jens Grivolla, Perfecto Herrera
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    ICMLA
    2008
    102views Machine Learning» more  ICMLA 2008»
    Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
    13 years 7 months ago
    Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
    Download  www.trustedsource.org
    Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
    Yuchun Tang, Yuanchen He, Sven Krasser
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