D. Thukaram

IEEE Transactions on Power Delivery · 2005

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

Whom D. Thukaram trusts overall

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

1. Simon S. Haykin
2. Martin T. Hagan
3. K. Müller
4. C. Burges
5. Roger Fletcher
6. Sebastian Mika

Papers from D. Thukaram's perspective

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

1. Fast Training of Support Vector Machines using Sequential Minimal Optimization
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. An introduction to kernel-based learning algorithms
4. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
5. Neural Networks: A Comprehensive Foundation
6. Training feedforward networks with the Marquardt algorithm
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Networks for Pattern Recognition

Their papers

• Artificial neural network and support vector Machine approach for locating faults in radial distribution systems (2005) — 376 citations