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    LREC
    2010
    180views Education» more  LREC 2010»
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
    13 years 9 months ago
    Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy
    Download  nlp.stanford.edu
    We investigate a number of approaches to generating Stanford Dependencies, a widely used semantically-oriented dependency representation. We examine algorithms specifically design...
    Daniel Cer, Marie-Catherine de Marneffe, Daniel Ju...
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    MASCOTS
    2010
    166views Modeling And Simulation» more  MASCOTS 2010»
    EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations
    13 years 9 months ago
    EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations
    Download  www.cs.rochester.edu
    Subtle implementation errors or mis-configurations in complex Internet services may lead to performance degradations without causing failures. These undiscovered performance anomal...
    Christopher Stewart, Kai Shen, Arun Iyengar, Jian ...
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    ICMLA
    2008
    134views Machine Learning» more  ICMLA 2008»
    Comparison with Parametric Optimization in Credit Card Fraud Detection
    13 years 9 months ago
    Comparison with Parametric Optimization in Credit Card Fraud Detection
    Download  www.ime.usp.br
    We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
    Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
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    SDM
    2008
    SIAM
    130views Data Mining» more  SDM 2008»
    Mining Sequence Classifiers for Early Prediction
    13 years 9 months ago
    Mining Sequence Classifiers for Early Prediction
    Download  www.cs.sfu.ca
    Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
    Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
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    CASCON
    2004
    129views Education» more  CASCON 2004»
    Building predictors from vertically distributed data
    13 years 9 months ago
    Building predictors from vertically distributed data
    Download  research.cs.queensu.ca
    Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
    Sabine M. McConnell, David B. Skillicorn
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