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Algebraic shortcuts for leave-one-out cross-validation in supervised network inference
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- Journal Article
- A1
- open access
Predicting pharmaceutical particle size distributions using kernel mean embedding
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- Journal Article
- A1
- open access
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
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Efficient regularized least-squares algorithms for conditional ranking on relational data
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Learning partial ordinal class memberships with kernel-based proportional odds models
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- Journal Article
- A1
- open access
A kernel-based framework for learning graded relations from data
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On the role of cost-sensitive learning in multi-class brain-computer interfaces
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Learning intransitive reciprocal relations with kernel methods
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Learning to rank: a ROC-based graph-theoretic approach
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Kernel-based learning methods for preference aggregation