Pages that link to "Item:Q4816853"

The following pages link to Leave-One-Out Bounds for Kernel Methods (Q4816853):

Displaying 33 items.

• Consistency and generalization bounds for maximum entropy density estimation (Q280753) (← links)
• Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels (Q370936) (← links)
• Integral operator approach to learning theory with unbounded sampling (Q371679) (← links)
• Learning with coefficient-based regularization and \(\ell^1\)-penalty (Q380980) (← links)
• Consistency analysis of spectral regularization algorithms (Q437553) (← links)
• Concentration estimates for learning with \(\ell ^{1}\)-regularizer and data dependent hypothesis spaces (Q550498) (← links)
• Optimal learning rates for least squares regularized regression with unbounded sampling (Q617656) (← links)
• Least square regression with indefinite kernels and coefficient regularization (Q617706) (← links)
• Hermite learning with gradient data (Q848563) (← links)
• Regularized least square regression with dependent samples (Q849335) (← links)
• A note on application of integral operator in learning theory (Q1012558) (← links)
• Indefinite kernel network with \(l^q\)-norm regularization (Q1723692) (← links)
• ERM learning with unbounded sampling (Q1943018) (← links)
• Concentration estimates for learning with unbounded sampling (Q1946480) (← links)
• Robust pairwise learning with Huber loss (Q1979426) (← links)
• Kernel gradient descent algorithm for information theoretic learning (Q2223567) (← links)
• Least-square regularized regression with non-iid sampling (Q2272113) (← links)
• Learning with sample dependent hypothesis spaces (Q2389476) (← links)
• Shannon sampling. II: Connections to learning theory (Q2581447) (← links)
• Indefinite kernel network with dependent sampling (Q2855474) (← links)
• Half supervised coefficient regularization for regression learning with unbounded sampling (Q2855757) (← links)
• Coefficient regularized regression with non-iid sampling (Q2885538) (← links)
• Least-squares regularized regression with dependent samples and<i>q</i>-penalty (Q2903163) (← links)
• ERM learning algorithm for multi-class classification (Q2909368) (← links)
• Reproducing Kernel Banach Spaces with the ℓ¹ Norm II: Error Analysis for Regularized Least Square Regression (Q3116949) (← links)
• (Q4637042) (← links)
• (Q4783902) (← links)
• (Q5159455) (← links)
• (Q5214255) (← links)
• Thresholded spectral algorithms for sparse approximations (Q5267950) (← links)
• Learning Bounds for Kernel Regression Using Effective Data Dimensionality (Q5706660) (← links)
• Optimality of regularized least squares ranking with imperfect kernels (Q6125450) (← links)
• Pairwise learning problems with regularization networks and Nyström subsampling approach (Q6488738) (← links)