Yuan Lan
Artificial Intelligence · 2009–2011
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #15,748 of 35,345 by trust here, #14,438 by citations
- Electrical and Electronic Engineering — 12 citations into it; #4,561 of 16,539 by trust here, #7,062 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistical Learning Theory — 6 citations into it
- Model Architectures — 6 citations into it
Whom Yuan Lan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Huang
- Lei Chen
- Roger Fletcher
- Robert E. Schapire
- Chee Kheong Siew
- Nan-Ying Liang
- David E. Rumelhart
- Zhan-Li Sun
- Leo Breiman
Who trusts Yuan Lan overall
Papers from Yuan Lan's perspective
Ordered by how strongly the researchers Yuan Lan trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
- Support-Vector Networks
- Extreme learning machine: Theory and applications
- Efficient BackProp
- Multilayer feedforward networks are universal approximators
- Approximation capabilities of multilayer feedforward networks
- Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
- The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
- A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
- Approximation by superpositions of a sigmoidal function
Their papers
- Extreme learning machines: a survey (2011) — 1,939 citations
- Ensemble of online sequential extreme learning machine (2009) — 339 citations