Pages that link to "Item:Q995417"

The following pages link to Fast rates for support vector machines using Gaussian kernels (Q995417):

Displaying 50 items.

• Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets (Q2381815) (← links)
• Stability of unstable learning algorithms (Q2384150) (← links)
• Statistical performance of support vector machines (Q2426613) (← links)
• Simultaneous adaptation to the margin and to complexity in classification (Q2456017) (← links)
• Optimal rates of aggregation in classification under low noise assumption (Q2469663) (← links)
• Approximate duality (Q2483045) (← links)
• Multicategory large margin classification methods: hinge losses vs. coherence functions (Q2510115) (← links)
• Learning rates of gradient descent algorithm for classification (Q2519710) (← links)
• Measuring the Capacity of Sets of Functions in the Analysis of ERM (Q2805728) (← links)
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory (Q2875744) (← links)
• ℓ¹-Norm support vector machine for ranking with exponentially strongly mixing sequence (Q2930104) (← links)
• Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers (Q2948481) (← links)
• Rademacher Chaos Complexities for Learning the Kernel Problem (Q3057230) (← links)
• Consistency of learning algorithms using Attouch–Wets convergence (Q3225085) (← links)
• Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records (Q3304860) (← links)
• Analysis of Regression Algorithms with Unbounded Sampling (Q3386411) (← links)
• Learning by atomic norm regularization with polynomial kernels (Q3451221) (← links)
• (Q4558508) (← links)
• The consistency of least-square regularized regression with negative association sequence (Q4564912) (← links)
• Consistency and convergence rate for nearest subspace classifier (Q4603717) (← links)
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning (Q4648555) (← links)
• Simultaneous estimations of optimal directions and optimal transformations for functional data (Q4689136) (← links)
• On Reject and Refine Options in Multicategory Classification (Q4962439) (← links)
• Large‐margin classification with multiple decision rules (Q4970185) (← links)
• Targeted Local Support Vector Machine for Age-Dependent Classification (Q4975568) (← links)
• (Q4998897) (← links)
• Learning Optimal Distributionally Robust Individualized Treatment Rules (Q4999141) (← links)
• Comparison theorems on large-margin learning (Q5022946) (← links)
• Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications (Q5060788) (← links)
• Intrinsic Dimension Adaptive Partitioning for Kernel Methods (Q5089718) (← links)
• (Q5148972) (← links)
• Learning Rates of <i>l^q</i> Coefficient Regularization Learning with Gaussian Kernel (Q5175497) (← links)
• (Q5214255) (← links)
• Optimal rate for support vector machine regression with Markov chain samples (Q5248169) (← links)
• Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation (Q5327187) (← links)
• A STUDY ON THE ERROR OF DISTRIBUTED ALGORITHMS FOR BIG DATA CLASSIFICATION WITH SVM (Q5370777) (← links)
• Relative Density-Ratio Estimation for Robust Distribution Comparison (Q5378219) (← links)
• Density-Difference Estimation (Q5378275) (← links)
• Learning with Convex Loss and Indefinite Kernels (Q5378314) (← links)
• Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem (Q5378343) (← links)
• Support vector machines regression with unbounded sampling (Q5379431) (← links)
• A Note on Support Vector Machines with Polynomial Kernels (Q5380381) (← links)
• Learning Rates for Classification with Gaussian Kernels (Q5380881) (← links)
• Online Classification with Varying Gaussians (Q5851123) (← links)
• Optimal learning with Gaussians and correntropy loss (Q5856264) (← links)
• Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes (Q5857109) (← links)
• Fully corrective gradient boosting with squared hinge: fast learning rates and early stopping (Q6072435) (← links)
• Fast convergence rates of deep neural networks for classification (Q6078714) (← links)
• Kernel machines with missing covariates (Q6184885) (← links)
• Sparse nonparametric regression with regularized tensor product kernel (Q6541594) (← links)