The following pages link to Data mining with sparse grids (Q5958909):
Displaying 25 items.
- A novel sparse least squares support vector machines (Q474428) (← links)
- Efficient model selection for sparse least-square SVMs (Q474543) (← links)
- Efficient shape optimization for certain and uncertain aerodynamic design (Q536665) (← links)
- Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids (Q544574) (← links)
- On the stability of the hyperbolic cross discrete Fourier transform (Q629898) (← links)
- Spatially adaptive sparse grids for high-dimensional data-driven problems (Q708314) (← links)
- The combination technique and some generalisations (Q860989) (← links)
- New explicit-in-dimension estimates for the cardinality of high-dimensional hyperbolic crosses and approximation of functions having mixed smoothness (Q895989) (← links)
- Fitting multidimensional data using gradient penalties and the sparse grid combination technique (Q1014352) (← links)
- Constructive representation of functions in low-rank tensor formats (Q1939497) (← links)
- Fast sparse grid operations using the unidirectional principle: a generalized and unified framework (Q2091292) (← links)
- Adaptive basis expansion via \(\ell _1\) trend filtering (Q2259769) (← links)
- On the influence of robustness measures on shape optimization with stochastic uncertainties (Q2357894) (← links)
- \(N\)-widths and \(\varepsilon \)-dimensions for high-dimensional approximations (Q2441423) (← links)
- A dimension adaptive sparse grid combination technique for machine learning (Q2796187) (← links)
- Spatially-Dimension-Adaptive Sparse Grids for Online Learning (Q2808022) (← links)
- A New Subspace-Based Algorithm for Efficient Spatially Adaptive Sparse Grid Regression, Classification and Multi-evaluation (Q2808025) (← links)
- On a Multilevel Preconditioner and its Condition Numbers for the Discretized Laplacian on Full and Sparse Grids in Higher Dimensions (Q2950232) (← links)
- On the treatment of distributed uncertainties in PDE-constrained optimization (Q3058181) (← links)
- Random search with <i>k</i> -prototypes algorithm for clustering mixed datasets (Q3104856) (← links)
- Parallelisation of sparse grids for large scale data analysis (Q3412197) (← links)
- (Q4433866) (← links)
- (Q4633017) (← links)
- Deep ReLU neural networks in high-dimensional approximation (Q6079085) (← links)
- Smoothly varying regularization (Q6111520) (← links)
