KengYeow Tay
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom KengYeow Tay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from KengYeow Tay's perspective
Ordered by how strongly the researchers KengYeow Tay trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical Learning Theory
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Incremental and Decremental Support Vector Machine Learning
- Incremental Support Vector Learning: Analysis, Implementation and Applications
- Minima of Functions of Several Variables with Inequalities as Side Conditions
- Ordinal Regression by Extended Binary Classification (Neural Information Processing Systems)
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Neural Networks for Pattern Recognition
- A training algorithm for optimal margin classifiers
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Incremental Support Vector Learning for Ordinal Regression (2015) — 712 citations