Wei Tang

with Wu · 2002

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Whom Wei Tang trusts overall

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

1. Robert E. Schapire
2. Leo Breiman
3. Naonori Ueda
4. Yoav Freund
5. David E. Rumelhart
6. Lars Kai Hansen
7. Stuart Geman

Who trusts Wei Tang overall

1. Lior Rokach
2. Zhi-Hua Zhou
3. Omer Sagi
4. J. Kolter
5. Yongqing Wang

Papers from Wei Tang's perspective

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

1. Learning internal representations by error propagation
2. The Strength of Weak Learnability
3. Adaptive Mixtures of Local Experts
4. A decision-theoretic generalization of on-line learning and an application to boosting
5. Bagging Predictors
6. Neural Networks and the Bias/Variance Dilemma
7. Hierarchical Mixtures of Experts and the EM Algorithm
8. Neural Network Ensembles
9. Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks
10. Learning with Ensembles: How Over--tting Can Be Useful

Their papers

• Ensembling neural networks: Many could be better than all (2002) — 2,013 citations