Eric Y. Kim
Expert systems with applications · 2009
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
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Who trusts Eric Y. Kim overall
Papers from Eric Y. Kim's perspective
Ordered by how strongly the researchers Eric Y. Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Sparse Bayesian Learning and the Relevance Vector Machine
- The Evidence Framework Applied to Classification Networks
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Principal Component Analysis
- Bearing defect diagnosis and acoustic emission
- A comparison of methods for multiclass support vector machines (IEEE Trans. Neural Networks)
- Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors (Expert systems with applications)
- Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors (Expert systems with applications)
- Sparse Bayesian Learning and the Relevan e Ve tor Ma hine