Corpus ID: 59842565

Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics)

@inproceedings{Cucker2007LearningTA,
  title={Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics)},
  author={F. Cucker and Ding-Xuan Zhou},
  year={2007}
}
182 Citations
Analysis of Kernel Mean Matching under Covariate Shift
  • 63
  • Highly Influenced
  • PDF
A STUDY ON THE ERROR OF DISTRIBUTED ALGORITHMS FOR BIG DATA CLASSIFICATION WITH SVM
  • Highly Influenced
Learning with the maximum correntropy criterion induced losses for regression
  • 61
  • Highly Influenced
  • PDF
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel
  • 14
  • Highly Influenced
  • PDF
Ramp loss linear programming support vector machine
  • 47
  • Highly Influenced
  • PDF
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
  • Highly Influenced
  • PDF
Minimax Linear Estimation of the Retargeted Mean
  • 11
  • Highly Influenced
  • PDF
New Nonlinear Machine Learning Algorithms With Applications to Biomedical Data Science
  • 1
  • Highly Influenced
  • PDF
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral-Regularization Algorithms
  • 13
  • Highly Influenced
...
1
2
3
4
5
...