Jia-Fu Chang

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia-Fu Chang trusts

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

  1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)
  2. Vladimir Naumovich Vapni (in Artificial Intelligence)
  3. Igor Kononenko (in Artificial Intelligence)

Papers from Jia-Fu Chang's perspective

Ordered by how strongly the researchers Jia-Fu Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. C4.5: Programs for Machine Learning
  2. The Nature of Statistical Learning Theory
  3. The Strength of Weak Learnability
  4. Fast Algorithms for Mining Association Rules
  5. A Comparison of Document Clustering Techniques
  6. Machine learning for medical diagnosis: history, state of the art and perspective
  7. The WEKA data mining software: an update
  8. Uniqueness of medical data mining (Artif. Intell. Medicine)
  9. A training algorithm for optimal margin classifiers
  10. Integrating Classification and Association Rule Mining

Their papers