Pages that link to "Item:Q4991173"
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The following pages link to High-dimensional classification when useful information comes from many, perhaps all features (Q4991173):
Displaying 18 items.
- Feature selection when there are many influential features (Q396025) (← links)
- Bayesian feature selection for classification with possibly large number of classes (Q546111) (← links)
- Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
- High-dimensional classification using features annealed independence rules (Q1000303) (← links)
- On selecting interacting features from high-dimensional data (Q1621350) (← links)
- Characterizing the scale dimension of a high-dimensional classification problem (Q1856632) (← links)
- Classification with many classes: challenges and pluses (Q2008227) (← links)
- On the fusion of threshold classifiers for categorization and dimensionality reduction (Q2513348) (← links)
- Model Selection for Classification with a Large Number of Classes (Q2787380) (← links)
- High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference (Q2797329) (← links)
- Adaptive learning machines for nonlinear classification and Bayesian information criteria (Q2844191) (← links)
- Application of non parametric empirical Bayes estimation to high dimensional classification (Q2880945) (← links)
- Impossibility of successful classification when useful features are rare and weak (Q3069213) (← links)
- Classification based on a permanental process with cyclic approximation (Q3143457) (← links)
- A simulation-approximation approach to sample size planning for high-dimensional classification studies (Q3305032) (← links)
- Facilitating high‐dimensional transparent classification via empirical Bayes variable selection (Q4627116) (← links)
- Incorporating prior probabilities into high-dimensional classifiers (Q5305468) (← links)
- SEQUENTIAL, BOTTOM‐UP VARIABLE SELECTION FOR HIGH‐DIMENSIONAL CLASSIFICATION (Q5357569) (← links)
