Sungmoon Jung
2004–2006
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sungmoon Jung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sungmoon Jung's perspective
Ordered by how strongly the researchers Sungmoon Jung trusts endorse each paper. Same corpus, a different order for every researcher.
- Increased rates of convergence through learning rate adaptation
- Fast-learning variations on back propagation: an empirical study.
- Learning internal representations by error propagation
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Parallel Distributed Processing: Explorations in the Microstructures of Cognition
- An empirical study of learning speed in back-propagation networks
- Rectified Linear Units Improve Restricted Boltzmann Machines
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Neural Networks and the Bias/Variance Dilemma
Their papers
- Neural network constitutive model for rate-dependent materials (2006) — 196 citations
- Numerical implementation of a neural network based material model in finite element analysis (2004) — 310 citations