Chengliang Zhang

Bioinform. · with Li · 2004

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

Whom Chengliang Zhang trusts overall

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

  1. David Ruppert
  2. Erin L. Allwein
  3. Trevor J. Hastie

Who trusts Chengliang Zhang overall

  1. Yvan Saeys
  2. Zexuan Zhu

Papers from Chengliang Zhang's perspective

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

  1. Statistical learning theory
  2. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  3. Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Classification by Pairwise Coupling
  6. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  7. Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
  8. On the Learnability and Design of Output Codes for Multiclass Problems
  9. Comparison of classifier methods: a case study in handwritten digit recognition
  10. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers

Their papers