Pages that link to "Item:Q1884603"

The following pages link to Statistical behavior and consistency of classification methods based on convex risk minimization. (Q1884603):

Displaying 50 items.

• Online regularized generalized gradient classification algorithms (Q3110496) (← links)
• The Investigation of Risk for Statistical Classifiers Using Minimum Estimators (Q3223717) (← links)
• (Q3319616) (← links)
• Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
• SVM LEARNING AND L^p APPROXIMATION BY GAUSSIANS ON RIEMANNIAN MANIFOLDS (Q3395345) (← links)
• Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability (Q3520072) (← links)
• Generalization Bounds for Some Ordinal Regression Algorithms (Q3529907) (← links)
• QUADRATIC AND CONVEX MINIMAX CLASSIFICATION PROBLEMS (Q3535164) (← links)
• Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
• (Q4558508) (← links)
• Surprising properties of dropout in deep networks (Q4558527) (← links)
• Consistency and convergence rate for nearest subspace classifier (Q4603717) (← links)
• Another Look at Distance-Weighted Discrimination (Q4603806) (← links)
• Convex Surrogate Minimization in Classification (Q4626693) (← links)
• Confidence sets with expected sizes for Multiclass Classification (Q4637018) (← links)
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning (Q4648555) (← links)
• SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming (Q4678449) (← links)
• On Reject and Refine Options in Multicategory Classification (Q4962439) (← links)
• A Statistical Learning Approach to Modal Regression (Q4969033) (← links)
• Composite large margin classifiers with latent subclasses for heterogeneous biomedical data (Q4970183) (← links)
• Sparse additive machine with ramp loss (Q4995049) (← links)
• Partial differential equation regularization for supervised machine learning (Q4998637) (← links)
• Comparison theorems on large-margin learning (Q5022946) (← links)
• Learning theory of minimum error entropy under weak moment conditions (Q5037873) (← links)
• (Q5053228) (← links)
• Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications (Q5060788) (← links)
• Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery (Q5109277) (← links)
• TESTING FOR RANDOM EFFECTS IN COMPOUND RISK MODELS VIA BREGMAN DIVERGENCE (Q5140080) (← links)
• (Q5149262) (← links)
• (Q5214200) (← links)
• (Q5214229) (← links)
• (Q5214241) (← links)
• Learning Theory and Kernel Machines (Q5305849) (← links)
• Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection (Q5327201) (← links)
• Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem (Q5378343) (← links)
• A Note on Support Vector Machines with Polynomial Kernels (Q5380381) (← links)
• Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses (Q5380444) (← links)
• Learning Theory Estimates with Observations from General Stationary Stochastic Processes (Q5380606) (← links)
• Generalization Analysis of Fredholm Kernel Regularized Classifiers (Q5380820) (← links)
• Learning Rates for Classification with Gaussian Kernels (Q5380881) (← links)
• Selection of Binary Variables and Classification by Boosting (Q5436402) (← links)
• Online Classification with Varying Gaussians (Q5851123) (← links)
• Optimization by Gradient Boosting (Q5870986) (← links)
• Deep learning: a statistical viewpoint (Q5887827) (← links)
• A fast unified algorithm for solving group-lasso penalize learning problems (Q5963816) (← links)
• Comment (Q5965645) (← links)
• Discussion of ``Hypothesis testing by convex optimization'' (Q5965738) (← links)
• Receiver operating characteristic curves and confidence bands for support vector machines (Q6055500) (← links)
• A nonlinear kernel SVM Classifier via \(L_{0/1}\) soft-margin loss with classification performance (Q6073171) (← links)
• Fast convergence rates of deep neural networks for classification (Q6078714) (← links)