Kai Yin

Transactions of the Institute of Measurement and Control · 2018

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

Whom Kai Yin trusts overall

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

1. Leo Breiman

Papers from Kai Yin's perspective

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

1. Bagging Predictors
2. Random Forests
3. LIBSVM: A library for support vector machines
4. The Random Subspace Method for Constructing Decision Forests
5. Multiple Classifier Systems
6. EEMD method and WNN for fault diagnosis of locomotive roller bearings (Expert systems with applications)
7. Supervised locally linear embedding projection (SLLEP) for machinery fault diagnosis
8. Boosting Neural Networks
9. Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar
10. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling

Their papers

• Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery (2018) — 341 citations