E. Ke Tang

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #29,902 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #18,378 of 21,575 by trust here, #15,529 by citations

Whom E. Ke Tang trusts overall

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

1. Leo Breiman
2. Vladimir Naumovich Vapni
3. Yoav Freund
4. C. Burges
5. Robert E. Schapire
6. Giorgio Giacinto
7. Gunnar Rätsch
8. Johan A. K. Suykens
9. Fabio Roli
10. Takashi Onoda

Who trusts E. Ke Tang overall

1. Leandro L. Minku
2. Li Guo
3. Xin Yao
4. Nesrine Chehata
5. Shuo Wang
6. Yu-Feng Li

Papers from E. Ke Tang's perspective

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

1. The Nature of Statistical Learning Theory
2. Bagging Predictors
3. Experiments with a New Boosting Algorithm
4. Boosting the margin: A new explanation for the effectiveness of voting methods
5. Statistical learning theory
6. Support-Vector Networks
7. Gradient-based learning applied to document recognition
8. A Tutorial on Support Vector Machines for Pattern Recognition
9. ImageNet classification with deep convolutional neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• An analysis of diversity measures (2006) — 436 citations