Pages that link to "Item:Q2033090"

The following pages link to An extended Newton-type algorithm for \(\ell_2\)-regularized sparse logistic regression and its efficiency for classifying large-scale datasets (Q2033090):

Displaying 8 items.

• Subspace quadratic regularization method for group sparse multinomial logistic regression (Q2044487) (← links)
• Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications (Q2104053) (← links)
• A data-driven line search rule for support recovery in high-dimensional data analysis (Q2157522) (← links)
• Gradient projection Newton pursuit for sparsity constrained optimization (Q2168680) (← links)
• A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression (Q2419533) (← links)
• Alternating direction method of multipliers for \(\ell_{1}\)-\(\ell_{2}\)-regularized logistic regression model (Q2630840) (← links)
• A fast hybrid algorithm for large-scale \(l_{1}\)-regularized logistic regression (Q2896051) (← links)
• (Q5159402) (← links)