Results 51 to 60 of about 2,991,648 (129)
Machine Learning-Based Technique for the Severity Classification of Sublingual Varices according to Traditional Chinese Medicine. [PDF]
Comput Math Methods Med, 2022 Lu PH +4 more
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Semi-Independent Sliced Inverse Regression
, 2014 This paper deals with dimension reduction in regression for large dataset. A new method based on the sliced inverse regression approach is introduced, called semi-independent regularized sliced inverse regression.
Li, Kevin
core
Collaborative Sliced Inverse Regression
, 2014 National audienceIn multidimensional data analysis, one has to deal with a dataset X made of n points in dimension p. When n and p are simultaneously large, classical statistical analysis methods and models fail.
Chiancone, Alessandro +2 more
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Some limitations of Sliced Inverse Regression
, 2013 In this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$.
Li, Kevin
core
Invariance properties of Sliced Inverse Regression
, 2013 In this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\mathbf{x}}$ and including a dimension reduction of ${\mathbf{x}}$ via an index $B'{\mathbf{x}}$.
Li, Kevin
core
Sufficient Dimension Reduction: An Information-Theoretic Viewpoint. [PDF]
Entropy (Basel), 2022 Ghosh D.
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Permutation Dimension Test of Fused Sliced Inverse Regression
, 2018 Recently, as the importance of data becomes more important, the amount of data accumulated in real time is increasing exponentially. Therefore, there are high-dimensional data that contain many explanatory variables.
조유나
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FUNCTIONAL SUFFICIENT DIMENSION REDUCTION THROUGH AVERAGE FRÉCHET DERIVATIVES. [PDF]
Ann Stat, 2022 Lee KY, Li L.
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