Xunxian Wang

2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Xunxian Wang trusts overall

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

  1. Robert E. Schapire
  2. Vladimir Naumovich Vapni
  3. M. Stone
  4. David E. Goldberg
  5. R. Meir

Papers from Xunxian Wang's perspective

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

  1. The Nature of Statistical Learning Theory
  2. The Strength of Weak Learnability
  3. Genetic Algorithms in Search Optimization and Machine Learning
  4. Cross‐Validatory Choice and Assessment of Statistical Predictions
  5. An Introduction to Boosting and Leveraging
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet classification with deep convolutional neural networks
  9. Support-Vector Networks
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers