Pages that link to "Item:Q2510525"
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The following pages link to Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization (Q2510525):
Displaying 10 items.
- Statistical analysis of the moving least-squares method with unbounded sampling (Q726158) (← links)
- Debiased magnitude-preserving ranking: learning rate and bias characterization (Q777111) (← links)
- Weight-based label-unknown multi-view data set generation approach (Q1739209) (← links)
- Laplacian unit-hyperplane learning from positive and unlabeled examples (Q1749204) (← links)
- Sparse mean-variance customer Markowitz portfolio optimization for Markov chains: a Tikhonov's regularization penalty approach (Q1787328) (← links)
- Video semantic analysis based on structure-sensitive anisotropic manifold ranking (Q1957659) (← links)
- Learning to rank on graphs (Q1959630) (← links)
- A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval (Q2179300) (← links)
- Efficient regularized least-squares algorithms for conditional ranking on relational data (Q2251443) (← links)
- Bias corrected regularization kernel method in ranking (Q4615656) (← links)
