Pages that link to "Item:Q1959643"
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The following pages link to gBoost: a mathematical programming approach to graph classification and regression (Q1959643):
Displaying 10 items.
- Supervised classification and mathematical optimization (Q339559) (← links)
- Finding the best not the most: regularized loss minimization subgraph selection for graph classification (Q1669622) (← links)
- Fast learning of relational kernels (Q1959554) (← links)
- Distance metric learning for graph structured data (Q2071320) (← links)
- On the theory of dynamic graph regression problem (Q2091389) (← links)
- Graph-valued regression: prediction of unlabelled networks in a non-Euclidean graph space (Q2140851) (← links)
- Sublinear update time randomized algorithms for dynamic graph regression (Q2245047) (← links)
- Shuffled graph classification: theory and connectome applications (Q2353142) (← links)
- Discriminative frequent subgraph mining with optimality guarantees (Q4969732) (← links)
- A confidence machine for sparse high-order interaction model (Q6548908) (← links)