The following pages link to (Q3174123):
Displaying 20 items.
- Ordinal classification based on the sequential covering strategy (Q313001) (← links)
- Efficient prediction algorithms for binary decomposition techniques (Q408680) (← links)
- Learning partial ordinal class memberships with kernel-based proportional odds models (Q433255) (← links)
- Ordinal regression neural networks based on concentric hyperspheres (Q889306) (← links)
- Is an ordinal class structure useful in classifier learning? (Q1046569) (← links)
- Ordinal margin metric learning and its extension for cross-distribution image data (Q1615649) (← links)
- Noncrossing ordinal classification (Q1748631) (← links)
- The unimodal model for the classification of ordinal data (Q1931982) (← links)
- Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches (Q2036753) (← links)
- Ordinal regression with explainable distance metric learning based on ordered sequences (Q2071504) (← links)
- Semi-supervised learning for ordinal kernel discriminant analysis (Q2281685) (← links)
- Multiple-class classification: Ordinal and categorical labels (Q3133027) (← links)
- Sparse kernel machine regression for ordinal outcomes (Q3465724) (← links)
- Generalization Bounds for Some Ordinal Regression Algorithms (Q3529907) (← links)
- On the Development of an Outranking Relation for Ordinal Classification Problems: An Experimental Investigation of a New Methodology (Q4806376) (← links)
- Methods and Applications of Artificial Intelligence (Q5307299) (← links)
- Exploitation of Pairwise Class Distances for Ordinal Classification (Q5378264) (← links)
- The Benefits of Modeling Slack Variables in SVMs (Q5380231) (← links)
- Incremental learning algorithm for large-scale semi-supervised ordinal regression (Q6072506) (← links)
- Learning ordinal data (Q6604471) (← links)
