Peter Stagge

Neurocomputing · 2003

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Peter Stagge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Igel
2. Martin A. Riedmiller
3. Michael Hüsken

Who trusts Peter Stagge overall

1. Martin Längkvist
2. Youngseon Jeong

Papers from Peter Stagge's perspective

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

1. Multitask Learning
2. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
3. Finding Structure in Time
4. Improving the Rprop Learning Algorithm
5. Extraction of rules from discrete-time recurrent neural networks
6. Induction of Finite-State Automata Using Second-Order Recurrent Networks
7. Recurrent neural networks and robust time series prediction
8. Natural Language Grammatical Inference with Recurrent Neural Networks
9. ImageNet classification with deep convolutional neural networks
10. Gradient-based learning applied to document recognition

Their papers

• Recurrent neural networks for time series classification (2003) — 342 citations