Pages that link to "Item:Q2880993"

The following pages link to Reproducing kernel Banach spaces for machine learning (Q2880993):

Displaying 50 items.

• Optimal sampling points in reproducing kernel Hilbert spaces (Q272199) (← links)
• Sampling in reproducing kernel Banach spaces (Q358246) (← links)
• Solving support vector machines in reproducing kernel Banach spaces with positive definite functions (Q466976) (← links)
• Frames, Riesz bases, and sampling expansions in Banach spaces via semi-inner products (Q544035) (← links)
• Semi-inner-products for convex functionals and their use in image decomposition (Q683628) (← links)
• Regularized learning in Banach spaces as an optimization problem: representer theorems (Q693135) (← links)
• Derivative reproducing properties for kernel methods in learning theory (Q939547) (← links)
• Approximation of high-dimensional kernel matrices by multilevel circulant matrices (Q990819) (← links)
• Image and video colorization using vector-valued reproducing kernel Hilbert spaces (Q993570) (← links)
• Learnability in Hilbert spaces with reproducing kernels (Q1599198) (← links)
• Reproducing kernel Banach spaces with the \(\ell^1\) norm (Q1762322) (← links)
• Vector-valued reproducing kernel Banach spaces with applications to multi-task learning (Q1939334) (← links)
• A meta-learning approach to the regularized learning -- case study: blood glucose prediction (Q1941597) (← links)
• Regularization in a functional reproducing kernel Hilbert space (Q1979423) (← links)
• Multi-task learning in vector-valued reproducing kernel Banach spaces with the \(\ell^1\) norm (Q1996886) (← links)
• When is there a representer theorem? Reflexive Banach spaces (Q2045091) (← links)
• Support vector machine classifiers by non-Euclidean margins (Q2063337) (← links)
• Admissible kernels for RKHS embedding of probability distributions (Q2065290) (← links)
• Contracting differential equations in weighted Banach spaces (Q2101086) (← links)
• Understanding neural networks with reproducing kernel Banach spaces (Q2105111) (← links)
• A converse sampling theorem in reproducing kernel Banach spaces (Q2159803) (← links)
• On Lipschitz implicit function theorems in Banach spaces and applications (Q2227564) (← links)
• A unifying representer theorem for inverse problems and machine learning (Q2231644) (← links)
• The Kramer sampling theorem revisited (Q2255601) (← links)
• Dual bases and discrete reproducing kernels: a unified framework for RBF and MLS approximation (Q2269224) (← links)
• The learning rates of regularized regression based on reproducing kernel Banach spaces (Q2318985) (← links)
• Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods (Q2325378) (← links)
• A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning (Q2333729) (← links)
• Functional reproducing kernel Hilbert spaces for non-point-evaluation functional data (Q2415404) (← links)
• When is there a representer theorem? Nondifferentiable regularisers and Banach spaces (Q2423813) (← links)
• Linearly constrained reconstruction of functions by kernels with applications to machine learning (Q2498389) (← links)
• Generalized semi-inner products with applications to regularized learning (Q2637940) (← links)
• Convex optimization in sums of Banach spaces (Q2667036) (← links)
• Sparse regularized learning in the reproducing kernel Banach spaces with the \(\ell^1\) norm (Q2668579) (← links)
• On reproducing kernel Banach spaces: generic definitions and unified framework of constructions (Q2674395) (← links)
• An inertial subgradient extragradient method with Armijo type step size for pseudomonotone variational inequalities with non-Lipschitz operators in Banach spaces (Q2698597) (← links)
• Frames for operators in Banach spaces via semi-inner products (Q2812448) (← links)
• Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning (Q2814134) (← links)
• Support Vector Machines in Reproducing Kernel Hilbert Spaces Versus Banach Spaces (Q2950621) (← links)
• Separability of reproducing kernel spaces (Q2964043) (← links)
• (Q3093182) (← links)
• Some Properties of Reproducing Kernel Banach and Hilbert Spaces (Q3120149) (← links)
• The Random Feature Model for Input-Output Maps between Banach Spaces (Q3382802) (← links)
• Regularized learning schemes in feature Banach spaces (Q4594821) (← links)
• Sparse Support Vector Machines in Reproducing Kernel Banach Spaces (Q4611831) (← links)
• Learning Theory (Q4680881) (← links)
• (Q4998934) (← links)
• Multikernel Regression with Sparsity Constraint (Q4999353) (← links)
• Error analysis of the kernel regularized regression based on refined convex losses and RKBSs (Q5022936) (← links)
• (Q5053232) (← links)