Chee Kheong Siew

Artificial Intelligence · 2004–2006

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #2,096 of 35,345 by trust here, #2,568 by citations
• Model Architectures — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it; #6,740 of 21,575 by trust here, #8,952 by citations
• Statistical Learning Theory — 8 citations into it

Whom Chee Kheong Siew trusts overall

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

1. G. Huang
2. Denis Serre
3. Kurt Hornik
4. Peter L. Bartlett
5. Andrew R. Barron
6. George V. Cybenko
7. Chih-Wei Hsu
8. Eric B. Baum
9. Yoav Freund
10. Qin-Yu Zhu

Who trusts Chee Kheong Siew overall

1. G. Huang
2. Lei Chen
3. A. Nizar
4. Gao Huang
5. Xiaojian Ding
6. Hongming Zhou
7. Nan-Ying Liang
8. Dong Yu
9. Ravinesh C. Deo
10. Xiaodong Li

Papers from Chee Kheong Siew's perspective

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

1. The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
2. Experiments with a New Boosting Algorithm
3. Approximation capabilities of multilayer feedforward networks
4. Multilayer feedforward networks are universal approximators
5. Neural Networks: A Comprehensive Foundation
6. Hierarchical Mixtures of Experts and the EM Algorithm
7. Approximation by superpositions of a sigmoidal function
8. Neural Networks: A Comprehensive Foundation
9. Universal approximation bounds for superpositions of a sigmoidal function
10. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))

Their papers

• Extreme learning machine: Theory and applications (2006) — 12,768 citations
• Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (2006) — 2,569 citations
• Extreme learning machine: a new learning scheme of feedforward neural networks (2004) — 4,185 citations
• Extreme learning machine: RBF network case (2004) — 310 citations