Sieh Kiong Tiong

Optimization & Training · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Sieh Kiong Tiong trusts overall

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

1. Vladimir Naumovich Vapnik
2. Christopher K. I. Williams

Papers from Sieh Kiong Tiong's perspective

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

1. The Nature of Statistical Learning Theory
2. Statistical learning theory
3. Support-Vector Networks
4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
5. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
6. A Practical Guide to Support Vector Classication
7. Probability Estimates for Multi-class Classification by Pairwise Coupling (Journal of machine learning research)
8. Electricity theft: a comparative analysis
9. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb (IEEE Transactions on Biomedical Engineering)
10. Gradient-based learning applied to document recognition

Their papers

• Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines (2010) — 400 citations
• Multistep short-term wind speed prediction using nonlinear auto-regressive neural network with exogenous variable selection (2020) — 46 citations
• Effect of deep-level defect density of the absorber layer and n/i interface in perovskite solar cells by SCAPS-1D (2020) — 220 citations
• An overview of solar photovoltaic panels’ end-of-life material recycling (2020) — 649 citations