Shang-Ming Zhou

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Shang-Ming Zhou trusts overall

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

1. Vladimir Naumovich Vapnik
2. Grace Wahba
3. W. Härdle
4. Serge Guillaume
5. Trevor J. Hastie
6. Michael S. Lewicki
7. Robert Tibshirani
8. Terrence J. Sejnowski
9. Henri Prade
10. Hirotugu Akaike

Who trusts Shang-Ming Zhou overall

1. Giulia Vilone
2. María José Gacto

Papers from Shang-Ming Zhou's perspective

Ordered by how strongly the researchers Shang-Ming Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Estimating the Dimension of a Model
2. Spline Models for Observational Data
3. Atomic Decomposition by Basis Pursuit
4. Generalized Additive Models
5. The Nature of Statistical Learning Theory
6. Regression Shrinkage and Selection via the Lasso
7. The Nature of Statistical Learning
8. Gradient-based learning applied to document recognition
9. Neural Networks for Pattern Recognition
10. ImageNet classification with deep convolutional neural networks

Their papers

• Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling (2008) — 277 citations