Keem Siah Yap
IEEE Transactions on Power Delivery · 2010–2015
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Keem Siah Yap trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapnik
- Christopher K. I. Williams
- Nello Cristianini
- Mohammadreza Asghari Oskoei
- Chih-Jen Lin
- Tingyao Wu
Who trusts Keem Siah Yap overall
Papers from Keem Siah Yap's perspective
Ordered by how strongly the researchers Keem Siah Yap trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Statistical learning theory
- Support-Vector Networks
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
- A Practical Guide to Support Vector Classication
- Probability Estimates for Multi-class Classification by Pairwise Coupling (Journal of machine learning research)
- Electricity theft: a comparative analysis
- Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb (IEEE Transactions on Biomedical Engineering)
- Statistical Learning Theory
Their papers
- Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines (2010) — 400 citations
- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration (2015) — 230 citations