Ming Li
Model Architectures · with Wang · 2017
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 6 citations into it
Whom Ming Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ming Li overall
Papers from Ming Li's perspective
Ordered by how strongly the researchers Ming Li trusts endorse each paper. Same corpus, a different order for every researcher.
- This PDF file includes: Materials and Methods
- A Fast Learning Algorithm for Deep Belief Nets
- Deep Learning
- Speech recognition with deep recurrent neural networks
- Multilayer feedforward networks are universal approximators
- Universal approximation bounds for superpositions of a sigmoidal function
- Reservoir computing approaches to recurrent neural network training
- Learning internal representations by back-propagating errors
- Stat260/cs294: Randomized Algorithms for Matrices and Data
- Theory of the backpropagation neural network
Their papers
- Stochastic Configuration Networks: Fundamentals and Algorithms (2017) — 638 citations