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    » Estimating the Accuracy of Learned Concepts
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    CCE
    2008
    77views Software Engineering» more  CCE 2008»
    Stochastic-based accuracy of data reconciliation estimators for linear systems
    13 years 5 months ago
    Stochastic-based accuracy of data reconciliation estimators for linear systems
    Download  www.ou.edu
    Accuracy of an instrument has been traditionally defined as the sum of the precision and the bias. Recently, this notion was generalized to estimators [Bagajewicz, M. (2005a). On ...
    Miguel J. Bagajewicz, DuyQuang Nguyen
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    VISAPP
    2008
    210views Computer Vision» more  VISAPP 2008»
    Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
    13 years 7 months ago
    Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
    Download  vicos.fri.uni-lj.si
    In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
    Danijel Skocaj, Matej Kristan, Ales Leonardis
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    ICC
    2008
    IEEE
    126views Communications» more  ICC 2008»
    A Concept for Data-Aided Carrier Frequency Estimation at Low Signal-To-Noise Ratios
    14 years 6 days ago
    A Concept for Data-Aided Carrier Frequency Estimation at Low Signal-To-Noise Ratios
    Download  www.iss.rwth-aachen.de
    Abstract— In this paper, we consider data-aided carrier frequency estimation for burst mode transmission in low signal-tonoise ratio (SNR) environments. It is well known from lit...
    Susanne Godtmann, Niels Hadaschik, Wolfgang Steine...
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    FOCS
    2008
    IEEE
    129views Theoretical Computer Science» more  FOCS 2008»
    Learning Geometric Concepts via Gaussian Surface Area
    14 years 6 days ago
    Learning Geometric Concepts via Gaussian Surface Area
    Download  www.cs.cmu.edu
    We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
    Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
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    ICPR
    2008
    IEEE
    191views Computer Vision» more  ICPR 2008»
    Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
    14 years 7 months ago
    Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
    Download  users.rowan.edu
    We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
    Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
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