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    » Reconstruction of Spectra Using Empirical Basis Functions
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    ICML
    2003
    IEEE
    249views Machine Learning» more  ICML 2003»
    Learning Distance Functions using Equivalence Relations
    14 years 8 months ago
    Learning Distance Functions using Equivalence Relations
    Download  www.cs.huji.ac.il
    We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
    Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daph...
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    BMCBI
    2007
    132views more  BMCBI 2007»
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    13 years 7 months ago
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    Download  www.biomedcentral.com
    Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
    Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
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    ICIP
    2003
    IEEE
    93views Image Processing» more  ICIP 2003»
    On the reconstruction of an image from its moments
    14 years 9 months ago
    On the reconstruction of an image from its moments
    Download  www-iri.upc.es
    Abstract--An image can be seen as an element of a vector space so that it can be expressed in terms of a series expansion of any non necessarily orthogonal base of this space. This...
    Federico Thomas, Judit Martinez
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    ML
    2002
    ACM
    168views Machine Learning» more  ML 2002»
    On Average Versus Discounted Reward Temporal-Difference Learning
    13 years 7 months ago
    On Average Versus Discounted Reward Temporal-Difference Learning
    Download  web.mit.edu
    We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
    John N. Tsitsiklis, Benjamin Van Roy
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    CIDM
    2009
    IEEE
    218views Artificial Intelligence» more  CIDM 2009»
    An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
    14 years 2 months ago
    An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
    Download  faculty.kfupm.edu.sa
    —  Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
    Hamoud I. Aljamaan, Mahmoud O. Elish
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