Tao Chen

with Wang · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Tao Chen trusts overall

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

1. C. Burges
2. Phillip Boyle
3. Tao Chen
4. Radford M. Neal
5. Marcus Frean
6. Iain Murray

Who trusts Tao Chen overall

1. Le Yang

Papers from Tao Chen's perspective

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

1. Bayesian learning for neural networks
2. Dependent Gaussian Processes
3. A Tutorial on Support Vector Machines for Pattern Recognition
4. Introduction to Gaussian Processes
5. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
6. Gaussian process regression for multivariate spectroscopic calibration
7. Geostatistics (Technometrics)
8. Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression
9. Using the Nyström Method to Speed Up Kernel Machines
10. Learning long-term dependencies with gradient descent is difficult

Their papers

• Gaussian process regression with multiple response variables (2015) — 117 citations
• Automatic counting methods in aquaculture: A review (2020) — 89 citations