Pages that link to "Item:Q1884603"
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The following pages link to Statistical behavior and consistency of classification methods based on convex risk minimization. (Q1884603):
Displaying 15 items.
- A reduced-rank approach to predicting multiple binary responses through machine learning (Q6089192) (← links)
- Error analysis of classification learning algorithms based on LUMs loss (Q6112861) (← links)
- Hybrid learning based on Fisher linear discriminant (Q6544564) (← links)
- Classification in high dimension with an Alternative Feature Augmentation via Nonparametrics and Selection (AFANS) (Q6544964) (← links)
- An error analysis for deep binary classification with sigmoid loss (Q6588360) (← links)
- Aggregated inference (Q6600359) (← links)
- Learning ordinal data (Q6604471) (← links)
- Statistical theory for image classification using deep convolutional neural network with cross-entropy loss under the hierarchical max-pooling model (Q6616182) (← links)
- Longitudinal self-learning of individualized treatment rules in a nutrient supplementation trial with missing data (Q6626825) (← links)
- Cross-validation on extreme regions (Q6635935) (← links)
- Matrix Linear Discriminant Analysis (Q6636541) (← links)
- Comment: From Ridge Regression to Methods of Regularization (Q6636564) (← links)
- Convergence analysis for complementary-label learning with kernel ridge regression (Q6636868) (← links)
- Support vector machine in big data: smoothing strategy and adaptive distributed inference (Q6643223) (← links)
- High-dimensional sparse classification using exponential weighting with empirical hinge loss (Q6668598) (← links)
