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    SDM
    2012
    SIAM
    234views Data Mining» more  SDM 2012»
    On Evaluation of Outlier Rankings and Outlier Scores
    11 years 7 months ago
    On Evaluation of Outlier Rankings and Outlier Scores
    Download  www.dbs.ifi.lmu.de
    Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
    Erich Schubert, Remigius Wojdanowski, Arthur Zimek...
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    PAMI
    2006
    155views more  PAMI 2006»
    Validating a Biometric Authentication System: Sample Size Requirements
    13 years 5 months ago
    Validating a Biometric Authentication System: Sample Size Requirements
    Download  biometrics.cse.msu.edu
    Authentication systems based on biometric features (e.g., fingerprint impressions, iris scans, human face images, etc.) are increasingly gaining widespread use and popularity. Ofte...
    Sarat C. Dass, Yongfang Zhu, Anil K. Jain
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    JMLR
    2006
    134views more  JMLR 2006»
    Considering Cost Asymmetry in Learning Classifiers
    13 years 5 months ago
    Considering Cost Asymmetry in Learning Classifiers
    Download  jmlr.csail.mit.edu
    Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
    Francis R. Bach, David Heckerman, Eric Horvitz
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    JMLR
    2006
    132views more  JMLR 2006»
    Learning to Detect and Classify Malicious Executables in the Wild
    13 years 5 months ago
    Learning to Detect and Classify Malicious Executables in the Wild
    Download  jmlr.csail.mit.edu
    We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
    Jeremy Z. Kolter, Marcus A. Maloof
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    BMCBI
    2008
    167views more  BMCBI 2008»
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
    13 years 5 months ago
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
    Download  www.biomedcentral.com
    Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
    Stefano Parodi, Vito Pistoia, Marco Muselli
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    NIPS
    2007
    136views Information Technology» more  NIPS 2007»
    Boosting the Area under the ROC Curve
    13 years 6 months ago
    Boosting the Area under the ROC Curve
    Download  www.phillong.info
    We show that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 (which can be achieved by random guessing) can be effi
    Philip M. Long, Rocco A. Servedio
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    NIPS
    2008
    280views Information Technology» more  NIPS 2008»
    On Bootstrapping the ROC Curve
    13 years 6 months ago
    On Bootstrapping the ROC Curve
    Download  www.cmla.ens-cachan.fr
    This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring statistics in the bipartite...
    Patrice Bertail, Stéphan Clémen&cced...
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    NIPS
    2008
    96views Information Technology» more  NIPS 2008»
    Empirical performance maximization for linear rank statistics
    13 years 6 months ago
    Empirical performance maximization for linear rank statistics
    Download  www.cmla.ens-cachan.fr
    The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide v...
    Stéphan Clémençon, Nicolas Va...
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    NIPS
    2008
    199views Information Technology» more  NIPS 2008»
    Overlaying classifiers: a practical approach for optimal ranking
    13 years 6 months ago
    Overlaying classifiers: a practical approach for optimal ranking
    Download  www.cmla.ens-cachan.fr
    ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
    Stéphan Clémençon, Nicolas Va...
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    DICTA
    2007
    186views Applied Computing» more  DICTA 2007»
    K-means Clustering for Classifying Unlabelled MRI Data
    13 years 7 months ago
    K-means Clustering for Classifying Unlabelled MRI Data
    Download  www.fjt.info.gifu-u.ac.jp
    Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
    Gobert N. Lee, Hiroshi Fujita
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