Diessel

2001

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

Whom Diessel trusts overall

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

1. Jeffrey L. Elman

Who trusts Diessel overall

1. Maria Polinsky
2. Silke Brandt

Papers from Diessel's perspective

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

1. Learning and development in neural networks: the importance of starting small.
2. Learning internal representations by error propagation
3. Feature Discovery by Competive Learning
4. Dynamic reinforcement driven error propagation networks with application to game playing
5. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
6. Neuronlike adaptive elements that can solve difficult learning control problems
7. Supervised learning and systems with excess degrees of freedom
8. An on-line algorithm for dynamic reinforcement learning and planning in reactive environments
9. Self-Organization and Associative Memory
10. Learning State Space Trajectories in Recurrent Neural Networks

Their papers

• The development of relative clauses in spontaneous child speech (2001) — 245 citations