Pages that link to "Item:Q2810796"
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The following pages link to A unifying framework in vector-valued reproducing kernel Hilbert spaces for manifold regularization and co-regularized multi-view learning (Q2810796):
Displaying 12 items.
- Approximately nearest neighborhood image search using unsupervised hashing via homogeneous kernels (Q1649549) (← links)
- Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
- Continuum versus discrete networks, graph Laplacians, and reproducing kernel Hilbert spaces (Q1799154) (← links)
- Manifold regularization based on Nyström type subsampling (Q2175018) (← links)
- Online Bayesian max-margin subspace learning for multi-view classification and regression (Q2303668) (← links)
- Multi-task learning via linear functional strategy (Q2407408) (← links)
- (Q4998896) (← links)
- (Q5053296) (← links)
- Matrix valued positive definite kernels related to the generalized Aitken's integral for Gaussians (Q5078974) (← links)
- Operator-valued positive definite kernels and differentiable universality (Q5083439) (← links)
- Weighted p-regular kernels for reproducing kernel Hilbert spaces and Mercer Theorem (Q5107664) (← links)
- Learning system parameters from Turing patterns (Q6134365) (← links)
