Wuyang Dai

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Statistics and Probability — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Wuyang Dai trusts overall

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

1. Radford M. Neal
2. Trevor J. Hastie
3. Corinna Cortes
4. Vladimir Naumovich Vapnik
5. Jerome H. Friedman
6. Robert Tibshirani
7. Vladimir Naumovich Vapni
8. Yoav Freund

Who trusts Wuyang Dai overall

1. Theodora S. Brisimi
2. Tingting Xu

Papers from Wuyang Dai's perspective

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

1. The Nature of Statistical Learning Theory
2. Support-Vector Networks
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. Random Forests
6. Pattern Recognition and Machine Learning
7. Boosting Algorithms as Gradient Descent
8. Feature selection, L1 vs. L2 regularization, and rotational invariance
9. Bayesian t tests for accepting and rejecting the null hypothesis (Psychonomic Bulletin & Review)
10. Introduction to Statistical Learning Theory

Their papers

• Predicting diabetes-related hospitalizations based on electronic health records (2018) — 35 citations
• A joint sparse clustering and classification approach with applications to hospitalization prediction (2016) — 9 citations
• Prediction of hospitalization due to heart diseases by supervised learning methods (2014) — 140 citations