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    ICMLA
    2008
    145views Machine Learning» more  ICMLA 2008»
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    13 years 6 months ago
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    Download  www.cis.pku.edu.cn
    Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
    Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Data Integration for Recommendation Systems
    13 years 6 months ago
    Data Integration for Recommendation Systems
    Download  homepages.dsu.edu
    The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
    Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
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    ICMLA
    2008
    177views Machine Learning» more  ICMLA 2008»
    Calibrating Random Forests
    13 years 6 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
    102views Machine Learning» more  ICMLA 2008»
    Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
    13 years 6 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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    ICMLA
    2008
    107views Machine Learning» more  ICMLA 2008»
    Detection of Sequential Outliers Using a Variable Length Markov Model
    13 years 6 months ago
    Detection of Sequential Outliers Using a Variable Length Markov Model
    Download  www.lirmm.fr
    Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
    Cécile Low-Kam, Anne Laurent, Maguelonne Te...
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