Pages that link to "Item:Q1009261"

The following pages link to Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261):

Displaying 9 items.

• Kernel logistic regression using truncated Newton method (Q645508) (← links)
• Fast exact leave-one-out cross-validation of sparse least-squares support vector machines (Q705597) (← links)
• Model selection in kernel ridge regression (Q1615122) (← links)
• Kernel learning at the first level of inference (Q2339392) (← links)
• Extreme logistic regression (Q2418253) (← links)
• Efficient leave-\(m\)-out cross-validation of support vector regression by generalizing decremental algorithm (Q2655577) (← links)
• A fast dual algorithm for kernel logistic regression (Q5896780) (← links)
• Enhanced kriging leave-one-out cross-validation in improving model estimation and optimization (Q6171247) (← links)
• Comment: Ridge Regression—Still Inspiring After 50 Years (Q6636566) (← links)