Hua-kui Yin
2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hua-kui Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hua-kui Yin's perspective
Ordered by how strongly the researchers Hua-kui Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- A comparison of methods for multiclass support vector machines (IEEE Trans. Neural Networks)
- The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery
- Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory (Information Fusion)
- The Nature of Statistical Learning Theory
- LIBLINEAR: A Library for Large Linear Classification
- Ultraconservative Online Algorithms for Multiclass Problems (Journal of machine learning research)
- On the Learnability and Design of Output Codes for Multiclass Problems
- A training algorithm for optimal margin classifiers
- Support-Vector Networks
- Comparison of classifier methods: a case study in handwritten digit recognition