Bernhard Steiert

Clinical pharmacology and therapy · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Bernhard Steiert's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
4. Random Forests
5. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
6. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
7. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
8. Advances in optimizing recurrent networks
9. Least squares quantization in PCM
10. Classification and regression trees

Their papers

• An Introduction to Machine Learning (2020) — 324 citations