Shan Kang

Statistical Learning Theory · 2015

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 7 citations into it

Whom Shan Kang trusts overall

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

1. B. Liu
2. R. Rivest
3. Johannes Fürnkranz
4. Leo Breiman
5. Fulton Wang
6. Paul A. Viola
7. Xiaoxin Yin
8. Eibe Frank
9. Jiawei Han
10. Cynthia Rudin

Who trusts Shan Kang overall

1. Elaine Angelino

Papers from Shan Kang's perspective

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

1. Integrating Classification and Association Rule Mining
2. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning decision lists
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Robust Real-Time Face Detection
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. CPAR: Classification based on Predictive Association Rules
10. Gradient-based learning applied to document recognition

Their papers

• Directional decision lists (2015)