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Artigo (Guyon et al., 2003) (Advanced Topics and Open Problems (Variance…
Artigo (Guyon et al., 2003)
Introduction
Variable Ranking
Principle of the Method and Notations
Correlation Criteria
Single Variable Classifiers
Information Theoretic Ranking Criteria
Small but Revealing Examples
Can Presumably Redundant Variables Help Each Other?
How Does Correlation Impact Variable Redundancy?
Can a Variable that is Useless by Itself be Useful with Others?
Variable Subset Selection
Wrappers and Embedded Methods
Nested Subset Methods
Direct Objective Optimization
Filters for Subset Selection
Feature Construction and Space Dimensionality Reduction
Clustering
Matrix Factorization
Supervised Feature Selection
Validation Methods
Conclusion
Advanced Topics and Open Problems
Variance of Variable Subset Selection
Variable Ranking in the Context of Others
Unsupervised Variable Selection
Forward vs. Backward Selection
The Multi-class Problem
Selection of Examples
Inverse Problems