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    ISCI
    2006
    48views more  ISCI 2006»
    Regression for ordinal variables without underlying continuous variables
    13 years 4 months ago
    Regression for ordinal variables without underlying continuous variables
    Download  crises-deim.urv.cat
    Vicenç Torra, Josep Domingo-Ferrer, Josep M...
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    UAI
    2001
    138views Artificial Intelligence» more  UAI 2001»
    A Bayesian Multiresolution Independence Test for Continuous Variables
    13 years 6 months ago
    A Bayesian Multiresolution Independence Test for Continuous Variables
    Download  www.cs.cmu.edu
    In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
    Dimitris Margaritis, Sebastian Thrun
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    ICRA
    2007
    IEEE
    189views Robotics» more  ICRA 2007»
    Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
    13 years 11 months ago
    Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
    Download  www.inf.ed.ac.uk
    — Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
    Georgios Petkos, Sethu Vijayakumar
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    CSDA
    2007
    123views more  CSDA 2007»
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
    13 years 4 months ago
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
    Download  stat-athens.aueb.gr
    In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
    G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
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    CSDA
    2006
    304views more  CSDA 2006»
    Using principal components for estimating logistic regression with high-dimensional multicollinear data
    13 years 4 months ago
    Using principal components for estimating logistic regression with high-dimensional multicollinear data
    Download  hera.ugr.es
    The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
    Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
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