- High|dimensional classification using features annealed ...🔍
- high|dimensional classification using features🔍
- High Dimensional Classification Using Features Annealed ...🔍
- High|Dimensional Classification Using Features Annealed ...🔍
- High|dimensional Classification Using Features Annealed ...🔍
- high|dimensional classification using features annealed ...🔍
- Classification with High Dimensional Features🔍
- Part I High|dimensional Classification🔍
High Dimensional Classification Using Features Annealed ...
High-dimensional classification using features annealed ...
We first demonstrate that even for the independence classification rule, classification using all the features can be as poor as the random guessing due to ...
high-dimensional classification using features - Jianqing Fan
Thus, it is important to select a subset of important features for high-dimensional classification, resulting in Features Annealed Independence. Rules (FAIR) ...
High Dimensional Classification Using Features Annealed ...
We first demonstrate that even for the independence classification rule, classification using all the features can be as bad as the random guessing.
High-Dimensional Classification Using Features Annealed ... - jstor
Thus, it is important to select a subset of important features for high-dimensional classification, resulting in Features Annealed Independence. Rules (FAIR) ...
High Dimensional Classification Using Features Annealed ...
Classification using high-dimensional features arises frequently in many contemporary statistical studies such as tumor classification using microarray or ...
High-Dimensional Classification Using Features Annealed ...
Classification using high-dimensional features arises frequently in many contemporary statistical studies such as tumor classification using microarray or ...
High-dimensional Classification Using Features Annealed ...
It is demonstrated that even for the independence classification rule, classification using all the features can be as poor as the random guessing due to ...
high-dimensional classification using features annealed ...
Effective dimension reduction methods for tumor classification using gene expression data · Sure independence screening for ultrahigh dimensional feature space.
Classification with High Dimensional Features
In this article, we give a selected overview of these methods. 2 High Dimensional Discriminant Analysis. 2.1 Review of linear discriminant analysis. Linear ...
Part I High-dimensional Classification
High-dimensional classification using features annealed independence rules. Ann. Statist. 36, 2605–2637. Fan, J. and Li, R. (2001). Variable selection via ...
Feature Selection in High-Dimensional Classification
High-dimensional discriminant analysis is of fundamental importance in multivariate statistics. Existing theoretical results sharply characterize different ...
Minimax Optimal High-Dimensional Classification using Deep ...
In this paper, we derive nonasymptotic rate for the minimax excess misclassification risk when feature dimension exponentially diverges with the ...
Stein's Method in High Dimensional Classification and Applications
It is often the case, that high-dimensional data consists of only a few informative components. Standard statistical modeling and estimation in such a situation ...
High-dimensional linear discriminant analysis using nonparametric ...
The classification of high-dimensional data is a very important problem that has been studied for a long time. Many studies have proposed linear classifiers ...
High Dimensional Data Classification - plaza
... feature selection using simulated annealing approach”. In: Applied Soft ... “Performance of feature-selection methods in the classification of high-dimension data ...
Graph-based sparse linear discriminant analysis for high ...
Despite its effectiveness for traditional low-dimensional problems, extensions of LDA are necessary in order to classify high-dimensional data. Many variants of ...
Variable Selection for High-Dimensional Supervised Classification.
Fan, J. and Fan, Y. (2008) “High-dimensional classification using features annealed independence rules”, Annals of Statistics, 36 (6), 2605 ...
Sure feature screening for high-dimensional dichotomous ...
The curse of high-dimensionality has emerged in the statistical fields more and more frequently. Many techniques have been developed to ...
How to approach machine learning problems with high dimensional ...
Preprocessing the features using PCA/LDA did not significantly increase classification accuracy of the SVM. To me, this totally makes sense ...
Invited Review Article - Jianqing Fan
The former appears in many. Page 5. VARIABLE SELECTION IN HIGH DIMENSIONAL FEATURE SPACE. 105 other contexts where we want to identify the significant ...