Pages that link to "Item:Q1009294"
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The following pages link to Convex multi-task feature learning (Q1009294):
Displaying 50 items.
- JGPR: a computationally efficient multi-target Gaussian process regression algorithm (Q2163240) (← links)
- Low rank matrix recovery with impulsive noise (Q2171174) (← links)
- Manifold regularization based on Nyström type subsampling (Q2175018) (← links)
- Group guided fused Laplacian sparse group Lasso for modeling Alzheimer's disease progression (Q2176042) (← links)
- Guarantees of Riemannian optimization for low rank matrix completion (Q2176515) (← links)
- Inter-class sparsity based discriminative least square regression (Q2179822) (← links)
- Group variable selection via \(\ell_{p,0}\) regularization and application to optimal scoring (Q2185626) (← links)
- Joint ranking SVM and binary relevance with robust low-rank learning for multi-label classification (Q2185679) (← links)
- Max-margin heterogeneous information machine for RGB-D action recognition (Q2193771) (← links)
- Learning with tensors: a framework based on convex optimization and spectral regularization (Q2251466) (← links)
- Mixed-norm regularization for brain decoding (Q2262456) (← links)
- Error bounds for non-polyhedral convex optimization and applications to linear convergence of FDM and PGM (Q2279378) (← links)
- Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach (Q2286374) (← links)
- Robust finite mixture regression for heterogeneous targets (Q2287712) (← links)
- Utilizing relevant RGB-D data to help recognize RGB images in the target domain (Q2299167) (← links)
- Memory networks for fine-grained opinion mining (Q2315363) (← links)
- Least square regularized regression for multitask learning (Q2319008) (← links)
- A Riemannian gossip approach to subspace learning on Grassmann manifold (Q2320541) (← links)
- Joint detection of malicious domains and infected clients (Q2320564) (← links)
- Truncated sparse approximation property and truncated \(q\)-norm minimization (Q2322801) (← links)
- Kernel collaborative online algorithms for multi-task learning (Q2330547) (← links)
- An efficient primal dual prox method for non-smooth optimization (Q2339936) (← links)
- Stable recovery of low rank matrices from nuclear norm minimization (Q2343583) (← links)
- Multilabel classification through random graph ensembles (Q2353005) (← links)
- A unified approach to computing the nearest complex polynomial with a given zero (Q2354766) (← links)
- A proximal alternating direction method for \(\ell_{2,1}\)-norm least squares problem in multi-task feature learning (Q2358899) (← links)
- Multi-task learning via linear functional strategy (Q2407408) (← links)
- Learning with optimal interpolation norms (Q2420165) (← links)
- Advanced conjoint analysis using feature selection via support vector machines (Q2629697) (← links)
- On the robustness of the generalized fused Lasso to prior specifications (Q2631367) (← links)
- Matrix completion with sparse measurement errors (Q2685993) (← links)
- Analysis of mobility based COVID-19 epidemic model using federated multitask learning (Q2688738) (← links)
- Low rank matrix minimization with a truncated difference of nuclear norm and Frobenius norm regularization (Q2691258) (← links)
- Analysis on methods to effectively improve transfer learning performance (Q2699958) (← links)
- Multiplicative multitask feature learning (Q2810896) (← links)
- The benefit of multitask representation learning (Q2810898) (← links)
- Guarantees of Riemannian optimization for low rank matrix recovery (Q2818273) (← links)
- Multi-task and Lifelong Learning of Kernels (Q2835628) (← links)
- Low-Rank and Sparse Multi-task Learning (Q3449323) (← links)
- (Q4558184) (← links)
- A semantic tree method for image classification and video action recognition (Q4634914) (← links)
- Gap Safe screening rules for sparsity enforcing penalties (Q4637055) (← links)
- Generalized Conditional Gradient for Sparse Estimation (Q4637076) (← links)
- Orthogonal sparse linear discriminant analysis (Q4638219) (← links)
- Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization (Q4911905) (← links)
- Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces (Q4987934) (← links)
- Deep Large-Scale Multi-task Learning Network for Gene Expression Inference (Q5041793) (← links)
- WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions (Q5043741) (← links)
- (Q5053179) (← links)
- Sparse Single Index Models for Multivariate Responses (Q5066421) (← links)