The following pages link to (Q3093223):
Displaying 35 items.
- Multi-output learning via spectral filtering (Q439000) (← links)
- Multicategory vertex discriminant analysis for high-dimensional data (Q542928) (← links)
- Soft-max boosting (Q747255) (← links)
- A Fisher consistent multiclass loss function with variable margin on positive examples (Q887268) (← links)
- Applying the multi-category learning to multiple video object extraction (Q937421) (← links)
- New multicategory boosting algorithms based on multicategory Fisher-consistent losses (Q999662) (← links)
- Risk-sensitive loss functions for sparse multi-category classification problems (Q1031681) (← links)
- Consistent algorithms for multiclass classification with an abstain option (Q1697489) (← links)
- Adaptively weighted large-margin angle-based classifiers (Q1750000) (← links)
- Deformation of log-likelihood loss function for multiclass boosting (Q1784701) (← links)
- Calibrated asymmetric surrogate losses (Q1950846) (← links)
- Sparse supervised dimension reduction in high dimensional classification (Q1952086) (← links)
- Multiclass classification, information, divergence and surrogate risk (Q1990579) (← links)
- Multicategory classification via forward-backward support vector machine (Q2006962) (← links)
- Estimating individualized treatment rules for treatments with hierarchical structure (Q2136622) (← links)
- Model-free feature screening for ultrahigh dimensional classification (Q2181726) (← links)
- Calibration and regret bounds for order-preserving surrogate losses in learning to rank (Q2251435) (← links)
- \(L_{p}\)-norm Sauer-Shelah lemma for margin multi-category classifiers (Q2402375) (← links)
- The asymptotics of ranking algorithms (Q2438754) (← links)
- On the consistency of multi-label learning (Q2446585) (← links)
- On the rate of convergence for multi-category classification based on convex losses (Q2475308) (← links)
- Multicategory large margin classification methods: hinge losses vs. coherence functions (Q2510115) (← links)
- Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory (Q2875744) (← links)
- Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers (Q2948481) (← links)
- Error analysis of multicategory support vector machine classifiers (Q3071817) (← links)
- Multiclass Probability Estimation With Support Vector Machines (Q3391267) (← links)
- (Q4558567) (← links)
- (Q4999003) (← links)
- Generalization performance of multi-category kernel machines (Q5435818) (← links)
- Comments on: Support vector machines maximizing geometric margins for multi-class classification (Q5965492) (← links)
- Comments on: Support vector machines maximizing geometric margins for multi-class classification (Q5965493) (← links)
- Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates (Q6069485) (← links)
- Spectral complexity-scaled generalisation bound of complex-valued neural networks (Q6136092) (← links)
- Outcome weighted \(\Psi\)-learning for individualized treatment rules (Q6541746) (← links)
- Tackling biased complementary label learning with large margin (Q6629239) (← links)
