Qiguang Miao

Artificial Intelligence · with Cao · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Statistical Learning Theory — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Qiguang Miao trusts overall

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

1. Eric R. Ziegel
2. Robert E. Schapire
3. Jerome H. Friedman
4. Yoav Freund
5. Leo Breiman

Papers from Qiguang Miao's perspective

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

1. The Elements of Statistical Learning
2. The Nature of Statistical Learning Theory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Special Invited Paper-Additive logistic regression: A statistical view of boosting
6. Regression Shrinkage and Selection via the Lasso
7. Generalized Linear Models
8. UCI Repository of machine learning databases
9. Gradient-based learning applied to document recognition
10. Statistical learning theory

Their papers

• Advance and Prospects of AdaBoost Algorithm (2013) — 536 citations