The following pages link to (Q3093211):
Displaying 28 items.
- Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics (Q104865) (← links)
- On the robustness of regularized pairwise learning methods based on kernels (Q325147) (← links)
- Support vector machines based on convex risk functions and general norms (Q513637) (← links)
- Asymptotic normality of support vector machine variants and other regularized kernel methods (Q765834) (← links)
- An outlier map for support vector machine classification (Q965126) (← links)
- Robust learning from bites for data mining (Q1020821) (← links)
- Risk-sensitive loss functions for sparse multi-category classification problems (Q1031681) (← links)
- Robustness of reweighted least squares kernel based regression (Q1049548) (← links)
- Asymmetric least squares support vector machine classifiers (Q1615251) (← links)
- Robust relevance vector machine for classification with variational inference (Q1639214) (← links)
- The security of machine learning (Q1959616) (← links)
- Robust pairwise learning with Huber loss (Q1979426) (← links)
- Assessing robustness of classification using an angular breakdown point (Q1990584) (← links)
- Asymptotic linear expansion of regularized M-estimators (Q2075454) (← links)
- Robustness by reweighting for kernel estimators: an overview (Q2075710) (← links)
- Influence diagnostics in support vector machines (Q2131934) (← links)
- Frameworks and results in distributionally robust optimization (Q2165596) (← links)
- Quantitative robustness of localized support vector machines (Q2191830) (← links)
- Learning rates for the kernel regularized regression with a differentiable strongly convex loss (Q2191832) (← links)
- Robustness of learning algorithms using hinge loss with outlier indicators (Q2292231) (← links)
- A review on consistency and robustness properties of support vector machines for heavy-tailed distributions (Q2442784) (← links)
- Detecting influential observations in kernel PCA (Q2445754) (← links)
- Consistency and robustness of kernel-based regression in convex risk minimization (Q2469652) (← links)
- On a strategy to develop robust and simple tariffs from motor vehicle insurance data (Q2508010) (← links)
- Separability of reproducing kernel spaces (Q2964043) (← links)
- Error analysis of the kernel regularized regression based on refined convex losses and RKBSs (Q5022936) (← links)
- Visually Communicating and Teaching Intuition for Influence Functions (Q5056963) (← links)
- Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses (Q5380444) (← links)
