Ruihua Liu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Optimization & Training — 6 citations into it
Whom Ruihua Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ruihua Liu's perspective
Ordered by how strongly the researchers Ruihua Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Dropout: a simple way to prevent neural networks from overfitting
- Regression Shrinkage and Selection via the Lasso
- Mastering the game of Go with deep neural networks and tree search
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Estimating the Dimension of a Model
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Multiple Classifier Systems
- Improving deep neural networks for LVCSR using rectified linear units and dropout
- On the Expressive Power of Deep Architectures
- Support Vector Regression Machines
Their papers
- Wind Turbine Gearbox Failure Identification With Deep Neural Networks (2017) — 295 citations