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    » Predicting relative performance of classifiers from samples
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    ICCD
    2006
    IEEE
    115views Hardware» more  ICCD 2006»
    Long-term Performance Bottleneck Analysis and Prediction
    14 years 4 months ago
    Long-term Performance Bottleneck Analysis and Prediction
    Download  iccd.et.tudelft.nl
    — Identifying performance bottlenecks is important for microarchitects and application developers to produce high performance microprocessor designs and application software. Man...
    Fei Gao, Suleyman Sair
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    SDM
    2010
    SIAM
    144views Data Mining» more  SDM 2010»
    A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
    13 years 9 months ago
    A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
    Download  www.cs.cmu.edu
    This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
    Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
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    IFE
    2010
    161views more  IFE 2010»
    Adaptive estimation and prediction of power and performance in high performance computing
    13 years 6 months ago
    Adaptive estimation and prediction of power and performance in high performance computing
    Download  post.queensu.ca
    Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
    Reza Zamani, Ahmad Afsahi
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    JMLR
    2010
    161views more  JMLR 2010»
    Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
    13 years 2 months ago
    Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
    Download  jmlr.csail.mit.edu
    Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
    Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    13 years 7 months ago
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    Download  www.biomedcentral.com
    Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
    Zihua Hu, Gail R. Willsky
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