F. Gouws

1999

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom F. Gouws trusts overall

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

1. Simon S. Haykin
2. John C. Gower
3. Mark W. Craven

Papers from F. Gouws's perspective

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

1. ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees
2. Using Sampling and Queries to Extract Rules from Trained Neural Networks
3. Survey and critique of techniques for extracting rules from trained artificial neural networks
4. Infinite Mixtures of Gaussian Process Experts
5. A General Coefficient of Similarity and Some of Its Properties
6. Classification and Regression Trees
7. Neural Networks: A Comprehensive Foundation
8. A theory of the learnable
9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
10. Finding Structure in Time

Their papers

• ANN-DT: an algorithm for extraction of decision trees from artificial neural networks (1999)