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    » Predicting relative performance of classifiers from samples
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    JMLR
    2008
    104views more  JMLR 2008»
    Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
    13 years 7 months ago
    Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
    Download  www.idsia.ch
    In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
    Giorgio Corani, Marco Zaffalon
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    SDM
    2010
    SIAM
    195views Data Mining» more  SDM 2010»
    Adaptive Informative Sampling for Active Learning
    13 years 9 months ago
    Adaptive Informative Sampling for Active Learning
    Download  www.cems.uvm.edu
    Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
    Zhenyu Lu, Xindong Wu, Josh Bongard
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    PAKDD
    2005
    ACM
    114views Data Mining» more  PAKDD 2005»
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    14 years 1 months ago
    Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
    Download  personal.gscit.monash.edu.au
    The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
    Chia Huey Ooi, Madhu Chetty
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    IM
    2007
    160views Computer Networks» more  IM 2007»
    Estimating End-to-End Performance by Collaborative Prediction with Active Sampling
    13 years 9 months ago
    Estimating End-to-End Performance by Collaborative Prediction with Active Sampling
    Download  domino.research.ibm.com
    — Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimiz...
    Irina Rish, Gerald Tesauro
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    TSP
    2008
    117views more  TSP 2008»
    Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
    13 years 7 months ago
    Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
    Download  www.eecs.umich.edu
    The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
    R. R. Nadakuditi, A. Edelman
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