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    SAC
    2012
    ACM
    271views Applied Computing» more  SAC 2012»
    A semiparametric Bayesian approach to extreme value estimation
    12 years 4 months ago
    A semiparametric Bayesian approach to extreme value estimation
    Download  faculty.chicagobooth.edu
    Fernando Ferraz do Nascimento, Dani Gamerman, Hedi...
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    VLDB
    2007
    ACM
    139views Database» more  VLDB 2007»
    A Bayesian Method for Guessing the Extreme Values in a Data Set
    14 years 2 months ago
    A Bayesian Method for Guessing the Extreme Values in a Data Set
    Download  www.vldb.org
    For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
    Mingxi Wu, Chris Jermaine
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    VLDB
    2009
    ACM
    182views Database» more  VLDB 2009»
    Guessing the extreme values in a data set: a Bayesian method and its applications
    14 years 8 months ago
    Guessing the extreme values in a data set: a Bayesian method and its applications
    Download  www.cise.ufl.edu
    For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
    Mingxi Wu, Chris Jermaine
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    NIPS
    2007
    161views Information Technology» more  NIPS 2007»
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    13 years 10 months ago
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    Download  books.nips.cc
    A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
    Tony Jebara, Yingbo Song, Kapil Thadani
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    CSDA
    2007
    151views more  CSDA 2007»
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    13 years 8 months ago
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    Download  afarcome.interfree.it
    An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
    Marco Alfò, Alessio Farcomeni, Luca Tardell...
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