Pages that link to "Item:Q1023677"
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The following pages link to On the scalability of ordered multi-class ROC analysis (Q1023677):
Displaying 15 items.
- Ranking data with ordinal labels: optimality and pairwise aggregation (Q374178) (← links)
- Learning partial ordinal class memberships with kernel-based proportional odds models (Q433255) (← links)
- Corrigendum to ``The unimodal model for the classification of ordinal data'' (Q889309) (← links)
- Learning to rank: a ROC-based graph-theoretic approach (Q976981) (← links)
- Kernel-based learning methods for preference aggregation (Q1040731) (← links)
- Three-group ROC analysis: a nonparametric predictive approach (Q1623624) (← links)
- Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking (Q1741234) (← links)
- Learning layered ranking functions with structured support vector machines (Q1932121) (← links)
- Maximizing upgrading and downgrading margins for ordinal regression (Q1935916) (← links)
- A review on instance ranking problems in statistical learning (Q2127240) (← links)
- Nonparametric statistical inference for \(\operatorname{P}(X < Y < Z)\) (Q2392081) (← links)
- The three-class ideal observer for univariate normal data: decision variable and ROC surface properties (Q2438606) (← links)
- Assessing the discriminatory power of loss given default models (Q5093048) (← links)
- Machine Learning: ECML 2003 (Q5897340) (← links)
- A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers (Q6629968) (← links)
