D. Hu

International Conference on Neural Networks and Brain · with Wang · 2005

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom D. Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Johan A. K. Suykens

Papers from D. Hu's perspective

Ordered by how strongly the researchers D. Hu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Introduction to Support Vector Machines
  2. Sparse approximation using least squares support vector machines (2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353))
  3. Weighted least squares support vector machines: robustness and sparse approximation (Neurocomputing)
  4. A tutorial on support vector regression
  5. Atomic Decomposition by Basis Pursuit
  6. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  7. Learning Multiple Layers of Features from Tiny Images
  8. Support-Vector Networks
  9. Multilayer feedforward networks are universal approximators
  10. The Nature of Statistical Learning Theory

Their papers