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    HPCA
    2009
    IEEE
    174views Distributed And Parallel Com...» more  HPCA 2009»
    Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
    16 years 4 months ago
    Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
    Download  www.ece.lsu.edu
    The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
    Lide Duan, Bin Li, Lu Peng
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    134
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    HPCA
    2009
    IEEE
    132views Distributed And Parallel Com...» more  HPCA 2009»
    Practical off-chip meta-data for temporal memory streaming
    16 years 4 months ago
    Practical off-chip meta-data for temporal memory streaming
    Download  www.eecg.toronto.edu
    Prior research demonstrates that temporal memory streaming and related address-correlating prefetchers improve performance of commercial server workloads though increased memory l...
    Thomas F. Wenisch, Michael Ferdman, Anastasia Aila...
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    KDD
    2009
    ACM
    249views Data Mining» more  KDD 2009»
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    16 years 4 months ago
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    Download  www.public.asu.edu
    The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
    Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
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    KDD
    2009
    ACM
    180views Data Mining» more  KDD 2009»
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    16 years 4 months ago
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    Download  www.research.rutgers.edu
    Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
    Sofus A. Macskassy
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    155
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    KDD
    2009
    ACM
    211views Data Mining» more  KDD 2009»
    Address standardization with latent semantic association
    16 years 4 months ago
    Address standardization with latent semantic association
    Download  www-ai.cs.uni-dortmund.de
    Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
    Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
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