Pages that link to "Item:Q1010549"
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The following pages link to Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimina\-tion (Q1010549):
Displaying 10 items.
- Correlation and variable importance in random forests (Q58729) (← links)
- Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications (Q977645) (← links)
- Editorial: Statistical learning methods including dimensionality reduction (Q1020825) (← links)
- Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers. (Q1426206) (← links)
- Feature elimination in kernel machines in moderately high dimensions (Q1731769) (← links)
- Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings (Q2034468) (← links)
- Variable Selection for Kernel Classification (Q3085308) (← links)
- (Q3598676) (← links)
- Variable Selection for Support Vector Machines (Q3652711) (← links)
- FEATURE EXTRACTION OF BRAIN MRI BY STATIONARY WAVELET TRANSFORM AND ITS APPLICATIONS (Q4560586) (← links)
