Qin-Yu Zhu

Artificial Intelligence · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 100 researchers here, as inferred from the citation graph.

Subfields

Whom Qin-Yu Zhu trusts overall

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

  1. G. Huang
  2. Denis Serre
  3. Kurt Hornik
  4. Peter L. Bartlett
  5. Yoav Freund
  6. Chih-Wei Hsu
  7. Silvia Ferrari
  8. Chee Kheong Siew
  9. Robert E. Schapire

Who trusts Qin-Yu Zhu overall

  1. G. Huang
  2. Dong Yu
  3. Zhan-Li Sun
  4. Shifei Ding
  5. Li Deng
  6. A. Nizar
  7. Ravinesh C. Deo
  8. Enrico Camporeale
  9. Laura Palagi
  10. Guorui Feng

Papers from Qin-Yu Zhu's perspective

Ordered by how strongly the researchers Qin-Yu Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
  2. Experiments with a New Boosting Algorithm
  3. Approximation capabilities of multilayer feedforward networks
  4. Neural Networks: A Comprehensive Foundation
  5. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  6. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
  7. Extreme learning machine: RBF network case (ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.)
  8. Matrices: Theory and Applications
  9. Smooth function approximation using neural networks (IEEE Transactions on Neural Networks)
  10. The Nature of Statistical Learning Theory

Their papers