Pages that link to "Item:Q5117650"

The following pages link to Kernel naive Bayes discrimination for high‐dimensional pattern recognition (Q5117650):

Displaying 8 items.

• Bayesian kernel projections for classification of high dimensional data (Q692966) (← links)
• Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis (Q901631) (← links)
• Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations (Q1763097) (← links)
• Comparison of binary discrimination methods for high dimension low sample size data (Q1941430) (← links)
• Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings (Q2048123) (← links)
• Pairwise local Fisher and naive Bayes: improving two standard discriminants (Q2305993) (← links)
• Classification via kernel product estimators (Q4236511) (← links)
• Random forest kernel for high-dimension low sample size classification (Q6089217) (← links)