Si-wen Tang

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 Si-wen Tang trusts

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

1. Chih-Wei Hsu (in Artificial Intelligence)
2. Chih-Jen Lin (in Artificial Intelligence)

Papers from Si-wen Tang's perspective

Ordered by how strongly the researchers Si-wen Tang trusts endorse each paper. Same corpus, a different order for every researcher.

1. A comparison of methods for multiclass support vector machines (IEEE Trans. Neural Networks)
2. The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery
3. Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory (Information Fusion)
4. The Nature of Statistical Learning Theory
5. LIBLINEAR: A Library for Large Linear Classification
6. Ultraconservative Online Algorithms for Multiclass Problems (Journal of machine learning research)
7. On the Learnability and Design of Output Codes for Multiclass Problems
8. A training algorithm for optimal margin classifiers
9. Support-Vector Networks
10. Comparison of classifier methods: a case study in handwritten digit recognition

Their papers

• Fault Diagnosis of Rotating Machinery Based on Multisensor Information Fusion Using SVM and Time-Domain Features (2014) — 92 citations