Data mining with sparse grids

On the multi-level splitting of finite element spaces

Numerische Mathematik

Hierarchical bases

ICIAM 91 Proceedings of the second international conference on Industrial and applied mathematics

Regularization theory and neural networks architectures

Neural Computation

Approximation of scattered data using smooth grid functions

Journal of Computational and Applied Mathematics

The nature of statistical learning theory

The nature of statistical learning theory

Machine learning, neural and statistical classification

Machine learning, neural and statistical classification

Information complexity of multivariate Fredholm integral equations in Sobolev classes

Journal of Complexity

2D spiral pattern recognition with possibilistic measures

Pattern Recognition Letters

The connection between regularization operators and support vector kernels

Neural Networks

An equivalence between sparse approximation and support vector machines

Neural Computation

Data mining methods for knowledge discovery

Data mining methods for knowledge discovery

Adaptive sparse grid multilevel methods for elliptic PDEs based on finite differences

Computing

Solving the quadratic programming problem arising in support vector classification

Advances in kernel methods

Approximate statistical tests for comparing supervised classification learning algorithms

Neural Computation

A note on the complexity of solving Poisson's equation for spaces of bounded mixed derivatives

Journal of Complexity

Bayesian neural networks for classification: how useful is the evidence framework

Neural Networks

Data selection for support vector machine classifiers

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

On the convergence of a multigrid method for linear reaction-diffusion problems

Computing

On the computation of the eigenproblems of hydrogen helium in strong magnetic and electric fields with the sparse grid combination technique

Journal of Computational Physics

Data mining with sparse grids using simplicial basis functions

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

SSVM: A Smooth Support Vector Machine for Classification

Computational Optimization and Applications

Learning from Data: Concepts, Theory, and Methods

Learning from Data: Concepts, Theory, and Methods

On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach

Data Mining and Knowledge Discovery

Feature Selection via Concave Minimization and Support Vector Machines

ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning

On the Parallelization of the Sparse Grid Approach for Data Mining

LSSC '01 Proceedings of the Third International Conference on Large-Scale Scientific Computing-Revised Papers

The Combination Technique for Parallel Sparse-Grid-Preconditioning or -Solution of PDEs on Workstation Networks

CONPAR '92/ VAPP V Proceedings of the Second Joint International Conference on Vector and Parallel Processing: Parallel Processing

On the Parallel Solution of 3D PDEs on a Network of Workstations and on Vector Computers

Parallel Computer Architectures: Theory, Hardware, Software, Applications

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

A Unified Framework for Regularization Networks and Support Vector Machines

A Unified Framework for Regularization Networks and Support Vector Machines

Lagrangian support vector machines

The Journal of Machine Learning Research

Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)

Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)